ࡱ> aA0C0////////////////////////////////000000000 0 0 0 0 0000000000000000000 0!0"0#0$0%0&0'0(0)0*0+0,0-0.0/000102030405060708090:0;0<0=0>0?0@0#` [bjbjmm OzT%/T x. ~~~4h> JL 7 r:G'+DM4O4O4O4O4O4O4$9hP<s4~.|..s4..-7e0e0e0..8~M4e0.M4e0e0&f~ ^a.id<707͗<[/<<~h..e0.....s4s40d...7....$...... Erasmus UniversityThe Perception of Value CreationPerception is the manner in which we become aware of the world Student name: Philip T. Fliers Bsc.Examination number: 294405Thesis supervisor: Dr. W.L.J. Schramade Abstract In this thesis we investigate the concept of perception. We start at the beginning and see how perception is grounded in philosophy and how it can be related to economics. Following the philosophy of Professor Hayek, we state that mankind is the same in that they tend to classify events in the same manner. Thus become aware of the world in approximately the same manner. We discuss how information and perception thus relate to economic variables and contribute to the perceived potential value creation. We discuss the reasons why firms exist and conclude that their goal is always to create value. It is this value creation which is reflected upon by the market. It then becomes apparent that in our perception lies a judgment, and that how the firms value creation is perceived is some kind of judgment. Using qualitative research methodology and using newspapers as a source of information we construct factors of perception and created categories of perception. Using the framing and sensemaking perspectives we uphold the validity of our data and by using the categories that we constructed we find frames that we can relate to economic variables. We hypothesize that operational value creation should be correlated to market value creation. We select various measures of value creation and calculate correlations. We also hypothesize that operational value creation should be correlated to factors of perception, we hypothesize the same for market value creation. We find that there is indeed a significant amount of correlation between measures of operational value creation and market value creation. Additionally we find that operational value creation (the return on invested capital especially) is significantly constitutive for our perception (e.g. in terms of correlation). Also we find that market value is significantly correlated to the constructed factors of perception. In the additional research, we find that factors of perception are indeed positively correlated to measures of value creation (also there are significant differences between categories of perception) and that in times of negative perception firms should, by reducing capital cost and increasing NOPLAT bind themselves to shareholders interest to positively influence the perception. Additionally we found that factors of perception are positively correlated to returns on invested capital, growth and investment rates. Also we find that factors of perception add value to the random walk model and the CAPM, additionally we find that factors of perception are significantly (positively) correlated to determinants of returns (as they are described in standard literature).  "He is my refuge and my fortress,my God, in whom I trust." (Psalm 91:1) In dedication to those we have lost. Contents  TOC \o "1-3" \h \z \u HYPERLINK \l "_Toc257706999"Acknowledgments  PAGEREF _Toc257706999 \h 6 HYPERLINK \l "_Toc257707000"Introduction  PAGEREF _Toc257707000 \h 7 HYPERLINK \l "_Toc257707001"Chapter 1 Perception  PAGEREF _Toc257707001 \h 9 HYPERLINK \l "_Toc257707002"1.1 Etymologic concept of perception  PAGEREF _Toc257707002 \h 9 HYPERLINK \l "_Toc257707003"1.2 Philosophic concept of perception  PAGEREF _Toc257707003 \h 10 HYPERLINK \l "_Toc257707004"Box Analogy of the Cave  PAGEREF _Toc257707004 \h 11 HYPERLINK \l "_Toc257707005"1.3 The problem of perception  PAGEREF _Toc257707005 \h 12 HYPERLINK \l "_Toc257707006"1.4 Perception and Knowledge  PAGEREF _Toc257707006 \h 14 HYPERLINK \l "_Toc257707007"1.5 Perception, Action and Feeling  PAGEREF _Toc257707007 \h 15 HYPERLINK \l "_Toc257707008"1.6 Perception, Beliefs and Expectations  PAGEREF _Toc257707008 \h 17 HYPERLINK \l "_Toc257707009"1.6.1 Acquisition of belief and confirmation  PAGEREF _Toc257707009 \h 18 HYPERLINK \l "_Toc257707010"Box Analogy of the Wall  PAGEREF _Toc257707010 \h 20 HYPERLINK \l "_Toc257707011"1.7 Perception in economics  PAGEREF _Toc257707011 \h 21 HYPERLINK \l "_Toc257707012"1.7.1 Pricing-system and Information  PAGEREF _Toc257707012 \h 22 HYPERLINK \l "_Toc257707013"1.7.2 Inverse of the risk-free rate  PAGEREF _Toc257707013 \h 24 HYPERLINK \l "_Toc257707014"1.7.4 Investment and Information  PAGEREF _Toc257707014 \h 27 HYPERLINK \l "_Toc257707015"1.7.5 Action and Information  PAGEREF _Toc257707015 \h 28 HYPERLINK \l "_Toc257707016"Chapter 2 Value Creation & Economic Value  PAGEREF _Toc257707016 \h 30 HYPERLINK \l "_Toc257707017"2.1 The firm as a value-creation based entity  PAGEREF _Toc257707017 \h 30 HYPERLINK \l "_Toc257707018"2.1.1 Theory of investment  PAGEREF _Toc257707018 \h 30 HYPERLINK \l "_Toc257707019"2.1.2 The Firm as a set of production functions  PAGEREF _Toc257707019 \h 31 HYPERLINK \l "_Toc257707020"Box A double blade  PAGEREF _Toc257707020 \h 32 HYPERLINK \l "_Toc257707021"2.1.3 Investment as source of earnings and growth  PAGEREF _Toc257707021 \h 33 HYPERLINK \l "_Toc257707022"2.1.4 The firm as a nexus of contracts  PAGEREF _Toc257707022 \h 34 HYPERLINK \l "_Toc257707023"2.1.5 Value creation  PAGEREF _Toc257707023 \h 35 HYPERLINK \l "_Toc257707024"2.2 Historical performance  PAGEREF _Toc257707024 \h 37 HYPERLINK \l "_Toc257707025"Chapter 3 Stock market performance & Asset Pricing  PAGEREF _Toc257707025 \h 38 HYPERLINK \l "_Toc257707026"3.1 Asset pricing and perception  PAGEREF _Toc257707026 \h 40 HYPERLINK \l "_Toc257707027"3.1.1 The goal of asset pricing  PAGEREF _Toc257707027 \h 40 HYPERLINK \l "_Toc257707028"3.1.2 Perception introduced into asset pricing  PAGEREF _Toc257707028 \h 40 HYPERLINK \l "_Toc257707029"3.2 Random Walk Hypothesis  PAGEREF _Toc257707029 \h 41 HYPERLINK \l "_Toc257707030"3.3 Determinants of returns  PAGEREF _Toc257707030 \h 43 HYPERLINK \l "_Toc257707031"3.4 CAPM  PAGEREF _Toc257707031 \h 44 HYPERLINK \l "_Toc257707032"Chapter 4 Hypotheses, Data and Methods  PAGEREF _Toc257707032 \h 47 HYPERLINK \l "_Toc257707033"4.1 Methodology of Measuring Perception  PAGEREF _Toc257707033 \h 47 HYPERLINK \l "_Toc257707034"4.1.1 Ethnography  PAGEREF _Toc257707034 \h 48 HYPERLINK \l "_Toc257707035"4.1.2 Linkage to theory: Discourse & Ethnographic Categorization  PAGEREF _Toc257707035 \h 49 HYPERLINK \l "_Toc257707036"Box Validity, Authenticity and Resistance  PAGEREF _Toc257707036 \h 51 HYPERLINK \l "_Toc257707037"4.1.3 Coding and Framing  PAGEREF _Toc257707037 \h 52 HYPERLINK \l "_Toc257707038"4.1.4 Assumptions  PAGEREF _Toc257707038 \h 54 HYPERLINK \l "_Toc257707039"Box Validity, Authenticity and Resistance (continued)  PAGEREF _Toc257707039 \h 55 HYPERLINK \l "_Toc257707040"4.1.5 Interpretation: Framing and Sense Making Perspective  PAGEREF _Toc257707040 \h 55 HYPERLINK \l "_Toc257707041"4.2 Measurement of Economic Variables  PAGEREF _Toc257707041 \h 59 HYPERLINK \l "_Toc257707042"4.2.1 Prices, Returns, Risk-free Rate  PAGEREF _Toc257707042 \h 59 HYPERLINK \l "_Toc257707043"4.2.2 Invested Capital  PAGEREF _Toc257707043 \h 60 HYPERLINK \l "_Toc257707044"4.2.3 NOPLAT  PAGEREF _Toc257707044 \h 61 HYPERLINK \l "_Toc257707045"4.2.4 Weighted cost of capital  PAGEREF _Toc257707045 \h 62 HYPERLINK \l "_Toc257707046"4.3 Hypothesis formulation  PAGEREF _Toc257707046 \h 63 HYPERLINK \l "_Toc257707047"Chapter 5 Results  PAGEREF _Toc257707047 \h 64 HYPERLINK \l "_Toc257707048"Additional observations  PAGEREF _Toc257707048 \h 70 HYPERLINK \l "_Toc257707049"Additional research  PAGEREF _Toc257707049 \h 73 HYPERLINK \l "_Toc257707050"Random walk model  PAGEREF _Toc257707050 \h 73 HYPERLINK \l "_Toc257707051"CAPM  PAGEREF _Toc257707051 \h 75 HYPERLINK \l "_Toc257707052"Chapter 6 Conclusion & critical remarks  PAGEREF _Toc257707052 \h 77 HYPERLINK \l "_Toc257707053"List of literature used  PAGEREF _Toc257707053 \h 80 HYPERLINK \l "_Toc257707054"APPENDIX A Newspapers and Economic variables  PAGEREF _Toc257707054 \h 83 HYPERLINK \l "_Toc257707055"Box Availability Bias  PAGEREF _Toc257707055 \h 89 HYPERLINK \l "_Toc257707056"APPENDIX B1 Firm specific correlations  PAGEREF _Toc257707056 \h 104 HYPERLINK \l "_Toc257707057"Operating Performance  PAGEREF _Toc257707057 \h 104 HYPERLINK \l "_Toc257707058"Market Performance  PAGEREF _Toc257707058 \h 105 HYPERLINK \l "_Toc257707059"Market performance versus operational performance  PAGEREF _Toc257707059 \h 106 HYPERLINK \l "_Toc257707060"APPENDIX B2 - Tables  PAGEREF _Toc257707060 \h 108 HYPERLINK \l "_Toc257707061"APPENDIX C Perception and Philosophy  PAGEREF _Toc257707061 \h 120 HYPERLINK \l "_Toc257707062"Perception and Identity  PAGEREF _Toc257707062 \h 120 HYPERLINK \l "_Toc257707063"Expectations  PAGEREF _Toc257707063 \h 121 HYPERLINK \l "_Toc257707064"APPENDIX D Corporate Governance and perception  PAGEREF _Toc257707064 \h 124 HYPERLINK \l "_Toc257707065"Governance, Corporate Finance & Credibility  PAGEREF _Toc257707065 \h 124 HYPERLINK \l "_Toc257707066"APPENDIX E Credibility and Salience in the sensemaking perspective  PAGEREF _Toc257707066 \h 127 Acknowledgments First of all I would like to thank a couple of people who have significantly influenced my work and gave me the inspiration for this thesis. I would like to thank Dr. W.L.J. Schramade, who approached me during the course of finalizing my bachelors thesis and came with the idea of incorporating a concept of perception into economics. He has been an excellent thesis advisor, providing me with substantial freedom in time management and provided insights, with respect to various subjects, either surrounding this thesis or on a more personal level. His critical attitude towards my work, the German saying In der Beschraenkung zeigt sich der Meister and his comments on the fact that I have the tendency to make things more complicated than they are, have significantly improved my research. Also I would like to thank my father, Roy Fliers, who has on countless occasions been the inspiration of lines of argumentation and research questions, on this subject, for the future. I would also like to thank my mother, for her understanding, and her patience in the endless conversations with my father and the venting of my ideas. Last but not least, I would like to thank my friends who have been ever so understanding of the fact that my time with them has been limited as I wrote this thesis, while I was working four days a week, which left only little time to spend with them. Also their uncanning interest in my research never stopped to amaze me. I would like to thank one friend in particular, who is currently living in Australia, with whom I have had numerous conversations on various economic subjects, more than once he has provided me with a new point of view. I thank you all for your contribution. Introduction Over the years asset pricing and corporate finance have become increasingly popular. Describing how returns are obtained, forecasted and determined, asset pricing has become strongly entangled, with the value creation which is the area of corporate finance. The DCF-model for instance which is used a lot in corporate finance is strongly connected to asset pricing equations. In the course of things there is also the area known as information economics, where information asymmetries, prices, returns and eventually value creation come together. As the DCF-model, just as countless other valuation models, is based on expectations of returns, it seems prudent to investigate how these expectations are formed and given shape. Assuming that it is the way in which we perceive the world, or our environment of focus, that is constitutive for our beliefs, we take perception as our unit of analysis. Accordingly in this thesis I show how the perception of information pressed upon us by the environment or the economic reality we focus on is related to value creation (prices and returns). By giving a fundamental account of the concept of perception and showing how this can be incorporated in to economic models, we can show that our interpretation of information does matter in the discovery process with the financial markets resemble. Additionally we state that as firms exist solely to create value, and claim that the value creation must also be positively linked to the perception of the firms existence. The focus of this thesis is there for the perception of profit, as profits and returns are constitutive for prices which are observed. Using qualitative methodologies, such as ethnographics, framing and sense making, we can construct quantitative factors of perception which we can relate to economic variables. We find that perception is positively correlated to measures of value creation, and that there is a positive correlation of perception factors to capital structure determinants (and prices/return). We also find evidence that factors of perception have value when incorporated in asset pricing models, such as the random walk hypothesis and the CAPM. To strengthen our findings we also investigate the correlation of perception factors with other determinants of returns and find significant positive correlations. This thesis is then constructed in the following manner; Chapter 1 will elaborate on the concept of perception, as how it is engrained in philosophy and how it can be incorporated into economics. Chapter 2 will elaborate on the value creation and firms existence in relation to the concept of perception described in chapter 1. Chapter 3 will then describe how stock market performance and asset pricing can be related to perception. Chapter 4 will describe the methodology used to construct factors of perception, measurement of economic variables and the construction of the research hypotheses. Chapter 5 will provide the results, containing elaborations on correlations and regressions. Finally we will conclude with a short overview, critical notes and suggestions for further research in chapter 6. Chapter 1 Perception 1.1 Etymologic concept of perception For centuries perception has been the object of study of philosophers, psychologists and scientists of nature, however in introducing such a broad and widely documented subject into economics, it is apparent that we should be aware of how the concept of perception is engrained in our language and used in the practice of common sense. Several dictionaries give the following answers; Perception is to take knowledge as an activity of the mind Perception is to become aware Perception is the process by which we become aware of changes Perception is the result of experience Even in having these definitions of perception of how the concept is currently used in common language, still does not tell us anything about the origin of the concept. The true origin of the word perception stems from the ancient Latin. In which it is directly linked to the accusative of perception [which is perceptionem], which means to gather, to grasp [in the sense of understanding] or insight. Perceptionem then comes from the infinitive of percipere, which means; To take into possession To receive To experience / To understand Stretching this etymologic interpretation, and dividing the Latin verb into two parts; per [through] and cipere [in combination], we can construct a beneficial etymologic meaning of the word perception; Perception is to grasp or to understand that what we experience through the combination of other [past] experiences All this however, still does not provide us with a theoretical explanation of how the concept of perception should be introduced into economics. As perception is a form of learning [or coming to understand], as it resembles some kind of discovery procedure, it is prudent that we investigate how perception is shapes our cognitive process and is fundamental for our action, beliefs and expectations. We therefore turn to the concept of perception as it is put forward in the field of philosophy, as philosophy has often been the source of new sciences. 1.2 Philosophic concept of perception Ever since the great philosophers Aristotle and Plato, there has been ongoing research into the concept of perception. Aristotle was already under the impression that the inductive scientific process (the acquisition of knowledge or the gathering of knowledge) was not only fundamentally backed by observing through the senses, but also by the intuition [or feeling] which played a determining role [in a speculative moment]. As Aristotle said, our perception through our senses should be separated from the notic concept of perception; however they should not be seen as opposites or different sides of a coin, notic (an exercise of the mind, as a product of nature) and perception through senses should be seen as complementary. It was however, Plato who provided the world with a philosophy that was meant to strive towards true knowledge separated from opinion [or notic perception]. He explained this needed separation through one of the most famous algorisms known in philosophy.  Figure  SEQ Figuur \* ARABIC 1; Myth of the Cave Box Analogy of the Cave Originally Platos Cave, or also known as Myth of the Cave, was meant to illustrate our nature in education and the human desire for education, featured in one of his famous books The Republic. Plato wrote this allegory as a dialogue between Socrates and his own brother (Glaucon). Imagining a group of people who had been living in a cave all their lives [in chains], facing a pale wall. The pale wall was directly in front of the cave entrance, such that the people facing the wall could observe projected shadows as things passed the caves entrance; they ultimately began ascribing forms to these projected shadows. These shadows, were the closest thing the prisoners had of observing reality. Plato then explains that the philosopher is like a freed prisoner, who learns to understand that those shadows are not entirely constitutive of reality, but that he [while in chains] could only perceive a glimpse of reality. It is thus as such that the forms or the higher Ideas (as Plato would describe them) possess the highest fundamental kind of reality. The ultimate idea here is that mankind should be seen as limited constituents in a larger world, which is fundamentally grounded in higher Ideas and that through observation through our senses we can only grasp so much as our being allows.  If man is limited and unable to fully grasp reality through its senses, how can we then come to a better perception of reality and the world or the environment on which we wish to reflect upon? It is here that we propose a definition of perception, however, not with the intention to have fully solved one of the most fundamental questions of philosophy but rather to be able to continue along the lines of this research. It was Thomas Davidson (1882) in his article on perception who said; Perception is the intuition of feeling as a relation of activity and passivity between two entities, each of which has that permanent act which we call being[Davidson, 1882, p.513] Intuition, therefore, and not identity is the essence of perception. Without intuition there would be no identity. The latter may be explained in terms of the former, [however] not vice versa [Davidson, 1882, p.513] The correlation of these two statement with Platos Cave become immediately apparent when we see that the relation of activity and passivity between two entities, the prisoners and that what is projected on the pale wall, both contain a permanent act, which is the fact of their existence. However, it is the intuition of how their being or existence is shaped that shapes the perception of those acts and feelings, constituting identity. The question on which we should elaborate is how did Davidson come to this notion of perception and how did he overcome, one of the most widely debated problems of perception? 1.3 The problem of perception Even though there is a wide range of publications on the concept of perception, there however, remains a problem. Whereas all other problems [except for the problem of perception] can refer for definitions of their terms to theories of perception, it should be clear that a study of perception cannot itself start with perception as a source which provides insight. As Davidson puts it; [] it follows [then] that any statement of this problem is already an attempted solution and that a complete solution is only a thoroughly comprehended statement [Davidson, 1882, p.496] This problem arises due to the fact that perception is an extension of reflection beyond simple objects in the mind and their evolution in our thought. We could see perception as a mathematical construct in saying that, as it always operates [in combination with] on past experiences, it tries to subsume that what the mind comes across. And it is when a new object that arrives, refused to be subsumed new Forms or Ideas are formed in the mind, however knowing mankind this can be a long-term process, as it is human nature to be conservative either in action or in thought. It then thus becomes clear that if we were to find an answer to the problem of perception, we would have to try to subsume the concept of perception, under one or more of its own constituents, however not including itself [Davidson, 1882]. As has happened for over centuries, problems that arise have to be converted back into theories, and it is here that we should realize that we can only find those complete objects that are present in the mind [which take part in our cognitive processes] if; [] by seeing that [which], however reflected on, it does not develop necessary relations to any other [Davidson, 1882, p.497] Put differently, we should realize that what exists and what we reflect upon might and would exist unchanged, even if everything else would not exist (unless we were to reflect upon the act of our own reflection). Implying that what does not change, does not alter our perception of reality or of the environment on which we reflect. The solution of the problem should then thus contain a) a permanent principle whose act is perception, b) a permanent term in which that act end, c) a mode of the principle as determined by the act and d) the mode of the term as determined by the same (implying a perception of itself). We then have to go back again to Aristotle, who has much elaborated on how the external world presents itself to the soul and how it enters the mind and shapes the cognitive process. For Aristotle the external world, or the environment which presents itself to the senses, is felt by being identified in the soul, it is these forms or ideas that are transferred to the intellect of man and are cognized in their identification. This is along the lines of the Parmenidean doctrine, in that the mode of perception consists in the identity of subject and object. It was Thomas Aquinas who said: The sensible in act is the sense in act, and the intelligible in act, is the intellect in act And such, as all things we observe are in motion, it is knowledge of these acts that implies fixity, how can there be actual knowledge? Simply observing cannot be knowledge, because the observation, and thus its identification in the soul is only a remembrance of forgotten ideas. Knowledge should then be like the effect produced upon a sensitive tablet partly by external things and partly by itself [Davidson, 1882, p.502], or put differently, knowledge is made up of ideas of sensation and ideas of reflection. It is this will of necessity, of sensation and reflection, which is the common element which binds all perceptions. Every perception, even the simplest, is a virtual judgment, in which some attribute is asserted to form part of a given concept. In by far the majority of perceptions, the concept which forms the subject of the judgment and the attribute which forms its predicate are previously known and are only recognized in the act of perception. [Davidson, 1882, p.504] 1.4 Perception and Knowledge It is important to investigate how perception relates to knowledge, as when we judge and recognize identities in our environment, we do not yet know if we have the (apparent) appropriate knowledge. When we thus look at the world, everything we see and observe has a relation, to something that is latent [e.g. locked away] in our mind. What we observe we try to subsume, and complement to the latent concept, through the cognitive information processing. Implying that there are subjects and predicates which are objects of perception which have come into the mind, unconsciously as it is a transformation of feeling into an object. This element which transforms feeling into an object, is what is denoted as being. Everything that is perceived must be, and being is essential to any given object, whether or not latent in the mind. Or as Davidson would put it; [] perception, then, is a felt entity or an existent feeling, of which neither element can be known by itself. It is moreover, true that a single such perception would not constitute knowledge in the ordinary sense of the word. [Davidson, 1882, p.505] However, what kinds of knowledge does perception [information] then grant us? For this question to be answered we again turn to Aristotle. He makes a distinction between potential (or anoetic) knowledge and dianoetical knowledge. Anoetic knowledge, is a type of knowledge, that when I know something anoetically I know this without having spend conscious attention to the subject. The one that is known before two When I know something dianoetically, this means I know something in relation to other concepts latent in the mind and acquire that knowledge through the intellectual activity of the mind. It should be clear that perception results in anoetic knowledge, as; [] the first perception is an existent feeling, in other words, a permanent reality. [Davidson, 1882, p.505] This however does not mean it cannot result in dianoetic knowledge. That what we observe, that what we initially perceive can through new observation go back and analyze that first perception, which formed an initial condition, constituent for every other following act [of perception]. 1.5 Perception, Action and Feeling Every following act seems to imply that perception is somehow constituent for action; however the question is how do we come to this conclusion? As we have different [initial] perceptions concerning different subjects, we know that there at least in our mind, exist multiple permanent realities. It is then when these realities coexist that distinctions and determinations in their being appear. Initially upon the acquisition of anoetic knowledge these realities exist outside of each other, within the same environment. The relation into which these realities or acts of [initial] perception stand to each other is founded in the nature of feeling, which is (throughout history) divided into an active and a passive side. Actio sequitur esse or Passio sequitur esse; Action or passion follows being. When realities start to relate to each other, due to the nature of feeling, it is not determined how their actions or passions will manifest across these realities (in degree or in extent). What we can be sure of is the following, when one reality relates itself (in an active manner) to another reality, a modification takes place in the feeling, and a determination in the being, of that [or those] realities[s]. It is in this manner that object and subject are subsequently formed, making our feelings infinite and eternal, whereas the new reality which is appearing as a mere limited object as it is an interaction between two larger realities. As the initial perceptions leave us in a confused state, it is only through time that we can give these perceptions a proper place in our mind (e.g. subsume with the other feelings and intuitions latent in the mind). The aforementioned makes clear that each reality can only lead to the knowledge of its own modifications. These feelings, can only be observed, or made visible when they are placed outside the subject, this can however not be done, through passion, which is as Davidson states is a pure feeling, thus it must be placed outside the subject as action. To transform the feeling into an object, is to understand the active [as implied by action] side of the feeling, through intuition (shaped by the cognitive information processing). Along the lines Davidson puts forward; Action can only be intuited and it is just this intuition of action, or of an agent in action that is the essence of perception [].[Davidson, 1882, p.506] The moment that we perceive something, and over time having processed this perception and we state that something is the case or that something does exist, we put this feeling outside ourselves, and become subjects outside ourselves with those realities acting upon us. We can thus state that pure action is equivalent to being [or existence]. What is left over if I subtract the fact that my arm goes up from the fact that I raise my arm? Ludwig Wittgenstein, Philosophical Investigations It is this quote from Ludwig Wittgenstein which illustrates this concept perfectly. When the [as a cognitive action] fact that I raise my arm, is transformed into a subject outside of my mind, as an activity acting upon us, the reality shows that my arm goes up.  It is therefore that we can say that the first perception, or the first anoetic reality, contains the essence of being in other words; [] the mind, from its very constitution has a permanent intuition of pure activity [Davidson, 1882, p.508] The only thing left now to investigate is how perception, relates to identity in the context of the aforementioned concept of action and acquisition of knowledge and how this shapes our beliefs and expectations of the world. Additionally see appendix C, for evidence of how perception relates to identity. 1.6 Perception, Beliefs and Expectations As we step into that larger environment and we realize that we act within this environment, we must acknowledge the fact that the environment presses upon us and determines our actions. As it is the world that shapes our feeling, it signifies a dynamic process in which we perceive the world to be as it is. Our sensory-system is the recipient of the impression the world, or the different realities, press upon us, making our perception an active process. As J.J. Gibson stated in his book The Ecological Approach to Visual Perception; []the most important source of information about the visual world has to be the invariances, those aspects of the pattern of light that do not change as we move. It is the nonchanges that signify the stabilities of surfaces and objects in the world. [J.J. Gibson, 1979] Haber in this review of Gibsons work continues by saying: The normal visual environment, [], is composed of scenes that begin under our feet and stretch toward a horizon. [] Forget the image; ask instead what aspects of the pattern of light reflected from the ground and from objects at different distances are invariant [Haber, A theory of perception, 1980] Even though Gibsons work is grounded in optica, he has been very influential in the development of the theories of perception. What he shows is that perceiving is an active process in which we focus on sources of information, different aspects of the world that provide our sensory-system with impression. To make our way through this dynamic world we have to identify the stabilities and the patterns, which are then fundamentally the source of our further and future perception of how the world is. But the question now is, how is this constitutive for our beliefs and the expectations we thus hold? Thomas Reid for example described perceptual experience as the involving of sensation together with the idea of some object (outside of our thoughts) and the belief of its present existence. He notes as we previously stated that the external senses, with which we take account of the world, have a double province, they make us perceive and feel. Although it is important what kind of feelings the external world brings about, the view put forward by Reid, is however too deterministic in the sense that perception is only defined in terms of conception and belief every other dynamic has been left out. Gareth Evans then, completely dismisses the non-reductive analysis of Reid, by characterizing perception in terms of the operation of an informational system. On the same field, and more recent, we find the interpretation of Bermdez stating; In the normal course of things perceivers tend to believe that the world is the way they perceive it to be. But there are times when belief and perception come apart. [Smith, 2001 p. 284] He is thus implying, that whatever information we might receive from our environment, it is not at all conditional that this is equated to our current belief. Belief thus comes from the information that our environment has pressed upon us, how does this then work? 1.6.1 Acquisition of belief and confirmation Let us notice the following claim: Belief of its [a certain external object] existence is essential to any perception of any object [Smith, 2001 p. 285] We see immediately that there is something wrong with this ascription. Armstrong who has written extensively on the subject states the problem as follows: Belief is a dispositional state of mind which endures for a greater or lesser length of time, and that may or may not manifest itself (either in consciousness or in behavior) during that time. [Smith, 2001 p. 285] If we are to see perception(s) as definite events that then take place at various moments in time, how can perceptions then be beliefs? Armstrong answers by saying that perceptions are no dispositional states, because they are the activity (genuine) of acquiring belief. On the background however is a lurking problem. When we say that through perception we acquire a belief with respect to our environment, this implies that we did not hold a belief prior to the perception. Stating that we can only perceive that with which we are already familiar, makes no literal sense. This problem can be solved in two ways; We acquire information in perceiving Perception involves either the acquiring of beliefs or their reinforcement Let us take a glance at the first claim. Armstrong suggested that perceptual beliefs are much more rich and detailed than non-perceptual beliefs [Box Analogy of the wall]. On this thought if we view beliefs as a thought of how a particular [thing] outside of ourselves, currently is, perception can be characterized by a flood of up-to-date information about that particular thing, or in the general sense, the environment. We thus acquire information, through perception of how the world, or particular things within that world, are and manifest themselves. When we acquire information with respect to the state of the world either be it new or duplicated information we face a change in our degree of conviction. What do I mean by this? The degree of conviction is the relative strength of our beliefs. As perception previously described as an active process, it shapes our beliefs. It is as Pitcher stated: [] belief itself constitutes an integral part of my perceptual consciousness []. [] belief is [thus] a member of a new set of perceptual belief [Smith, 2001 p. 286] Belief should thus equally relate to all perceived features of perceptions, much like a linear extrapolation. The second claim is related to the first claim, in the sense that it is now allowed that no new information about the state of the world may be acquired or inferred. However, in these cases it might be possible that a certain counterfactual will be true. Smith elaborates on this point by stating; Perception is an event that would have been the acquiring of belief, if [that] belief had not already been acquired. In other words, perception involves either the acquiring of beliefs or their reinforcement. [Smith, 2001 p. 287] If a counterfactual is thus the case we tend to create a new belief as a part of a new set of perceptual beliefs, however, we are often reluctant to let go of the initial belief, hence man strives for the confirmation of past beliefs either perceptual or non-perceptual beliefs. As Pitcher in the same line of reasoning argues, we are thus caused to have beliefs about our environment and because of the over-determination, which lies in the strive for confirmation of past beliefs, we avoid the problem that the beliefs which are essentially implicated in perception were not held before. Confirmation: Information is the present cause of a current belief, in line with past causes of the beliefs which were held in the past. Belief inducing: [provided that] A counterfactual is true a new belief is formed within a new set of perception(s). As we have yet to describe how the cognitive process enables us to create expectations we will take this claim of perception as belief inducing investigate how perception can be related to economics. Additionally see appendix C for a description of how perception relates to expectations. Box Analogy of the Wall If we state that although perceptual beliefs are indeed, typically much more detailed than non-perceptual beliefs, how can we then demonstrate this? Imagine a dessert; in fact you are standing in the middle of that dessert facing an enormous white wall. While facing the wall you close your eyes, do you believe the wall is still there? Do you believe, if the wall is still there, that it is still white? Even though when our eyes are shut, we do not perceive the object, however we still have a belief concerning the object. However, there has changed something, though I belief that an object like a wall cannot just move or change color, I cannot be sure, because I am not perceiving the wall at that moment. As my belief becomes less detailed my degree of conviction drops. As perception is intrinsically belief inducing, our formulation of expectations then highly depends on our perception and degree of conviction of our beliefs. Thus, as a belief becomes stronger expectations will also be more prominent and more likely to be visible (or more likely to be reflected) in the occurrence of external phenomena. It is thus our action of discovering a true belief and formulating appropriate expectations, which are the effect of our perception of the world. In this we have to realize that we have come to know or [at least] believe a great deal in relation to other events which we perceived. But as we previously saw, perception ultimately results in anoetic knowledge, as we perceive something, we know this what we have perceived, before we put it into a relationship with other previous beliefs, or experiences. We can conclude from the aforementioned; As perception is constitutive for our beliefs, we would have no expectations with regard to the world, if we were to have no beliefs. The environment which presses its changes upon us, induces us to have a belief, as we focus on certain invariances [in which we are interested]. Man-kind is always inclined to have a belief, and formulate [apparent] appropriate expectations with respect to how the world truly is and will be. If perception is the manner in which we become aware of this world en the environment on which we reflect, to construct our beliefs and formulate our expectations we can make the following claim; Perception, if measurable, should be a factor of analysis in economic research. 1.7 Perception in economics In this paragraph we investigate how perception can be successfully integrated in economics, for this we mainly turn to three articles, one by Professor Hayek (The Use of Knowledge in Society, 1945), the other two are reviews of Hayeks philosophy. In his philosophic criticism of the tendencies towards planning and engineering in contemporary economics he often touched onto the concept of perception and the human mind processing information about the state of the world. We divide this paragraph in three sections, the first of which concerns perception in relation to the pricing-system and the conveying of information by this pricing-system. Secondly we discuss how investment and information are related and how perception is involved. Finally we conclude on how peoples actions (economic action) comes from their perception and the information available to them, we do this by discussing the Grossman-model of information which states that if there is information available people will trade on this. 1.7.1 Pricing-system and Information As we saw before perception revolves around what our environment presses upon us and on what we as limited humans can digest. For this to relate to economics we immediately turn to Hayek who stated; It is true, of course, that we know nothing about other peoples minds except through sense-perceptions [Hayek, The Use of Knowledge in Society, 1945, p. 519] Under the capitalistic free-market system prices are formed based on future expected cash flows, which in fact as we saw earlier is an inevitable result of our beliefs and thus perception. Prices are than the aggregated beliefs of players in the market and hence reflect the average perception of future outcomes or state of the world. In light of this Hayek continues; Our procedure is based on the experience that other people as a rule classify their sense impressions as we do. [Hayek, 1945, p. 519] and [Murray, Hayeks Philosophy, 1945] Put differently if we all hold different beliefs and thus different expectations, we still know all sense impressions (perceptions) are classified in the same manner, making prices (e.g. returns) valid aggregate reflections of these perceptions. In his analysis Hayek makes the following assumptions which are seem plausible and most of which we have already mentioned in the previous paragraphs; The structure of the human mind is everywhere the same (relating to the quote above) Our actions are based on our opinions Opinions are subjectively held Perceptions and beliefs differ among individuals Following these assumptions by which we will continue to work Hayek concluded; [] typically one cannot predict individual actions. Pattern predictions or explanations of the principle underlying the composition of social phenomena are usually the best one can do [Hayek, 1945, p. 520] The sensory system through which we perceive these social phenomena is along the aforementioned lines of theory and Hayeks interpretation a self-organized and adaptive entity which interacts with the environment. However as opinions are subjectively held and perceptions and expectations can differ across individuals, how can there ever be knowledge and how will this be coordinated? The answer to this question is relatively simple, especially for the field of economics. Coordination occurs through the market-price mechanism. It is here that we find in Hayeks publications the initial ground for modern information economics. Economics of information provides a systematic means of identifying and classifying the wide array of problems that informational asymmetries can produce [Caldwell, Hayek and Socialism, 1997] Put differently information economics is grounded in its explanatory value of how prices can come to exist given the fact that people hold different beliefs and expectations stemming from their perceptions. As man is essentially limited in its perception of the world and has no pure knowledge of the world around him the price system in which economists operate is a mechanism for conveying information. Hayek saw the price system then as a communication mechanism, which if perceived properly can grant knowledge about the state of the world. Hayeks major contribution therefore is than that he pointed out that in an environment in which scarcity was dominant [the field of economics] and in which information is disaggregated or dispersed the price system is a low-cost mechanism for aggregation and coordination. He stated the following on the subject; We have come to understand that the market and the price mechanism provided in this sense a sort of discovery procedure which both makes the utilization of more facts possible than any other known systems, and which provides the incentive for constant discovery of new facts which improve adaptation to the ever changing circumstances of the world in which we live [Caldwell, 1997] and [Hayek, 1978] Let us take a look at how we can interpret this and make these statements more practically applicable. 1.7.2 Inverse of the risk-free rate As is well known from standard economic theory the risk-free rate is a form of a minimum required return investors desire on their investment. This risk-free rate can be obtained by investing in an asset with no default risk. If there were no risk in any asset what so ever this would be the prevailing interest rate, however this rate only exists in theory. This is why again clear from standard economic theory usually a government bond is selected to reflect a risk-free asset. This is done because the likelihood that governments will default before maturity is very low. From this we can observe the dynamic of interest rates, as interest rates signify risk and uncertainty present in the market. Also liquidity and inflationary expectations are expressed by interest rates. If interest rates go up, firms face higher lending rates and especially those firms with flexible interest rate obligations will face a higher probability of default. Effectively increasing risk for the investors, as they face greater uncertainty of whether or not they will receive their money. As interest rates drop the inverse will happen. From this we know that if we see the risk-free rate as a benchmark for investors, whos first goal is to get this required minimum return (if they do not grasp this return, it is assumed they took unnecessary risks), the risk-free rate can be a factor signaling a certain state of the world. From standard asset-pricing theory we know that prices at time (t) are given by the following equation;  Where  QUOTE   is the expected return of a particular asset and  QUOTE   is the pricing kernel, or the stochastic discount factor. This thus says; the price always comes at time (t), the payoff at (t+1), and the expectation is conditional on information on time (t). The pricing kernel is then the way in which we generalize discount factors which are subjectively held. [J.H. Cochrane, Asset Pricing, 2005]. If no uncertainty exists, the discount factor, which we use to compensate for the time-value of money, can be reformulated;  Why can we simply do this? In a world where there is no asset specific risk, everybody faces the same risk, which is the risk of the economy or a change in the state of the world. Equivalently everybody thus faces the same public information with respect to the state of the world and perceives this in the same manner. In this respect  QUOTE   is often called the marginal rate of substitution (MRS), this is the rate at which the investor is willing to substitute consumption at time (t+1) for consumption at time (t). Indicating that a high MRS will induce investors will hold off investments as future probable returns are rather low.  QUOTE  ; bad state of the world implying;  QUOTE    QUOTE  ; good state of the world implying;  QUOTE   What does this mean for the information flow and the perception of investors? If we take  QUOTE   as an current information parameter we have the following equation;  What we have here is that the stochastic discount factor represents a vector of current in absolute amounts information about the (future) state of the world. If more information enters the relevant vector that environment people focus on -  QUOTE   increases and a bad state of the world will occur and prices will rise. Why will an increase of information cause prices to rise? Investors or analysts perceive information increases as suppressing of uncertainty and a new incentive to the discovery procedure of the new price for an asset. This can be interpreted along the lines of a paper published in 1991 by Diamond and Verrecchia. In their paper [Disclosure, Liquidity, and the Cost of Capital; Journal of Finance, September 1991] they state; If initial information asymmetry is large, reducing it will increase the current price of the security. [Diamond and Verreccia, 1991, p. 1325] They continue and state in their conclusion; Provided there is some information asymmetry, these [] imbalances attract more market makers [when new information is made public], implying that the largely institutional holders of large firms [] need the liquidity provided by market makers and [it is these market markets that] provide some trading activity to attract them [the institutional holders]. [Diamond and Verrecchia, 1991, p. 1348] When new information is made public, -we assume- some of the markets uncertainty is relieved. It is this uncertainty, which relates to the information asymmetry, which attracts new players to the market. When the market makers are trading for their own account, they effectively make the market attractive for new investors, effectively boosting prices (at time t). As the new liquidity is provided, (institutional) investors compete, over a certain period of time, for the so called liquidity, which increases prices even more. As a last part of the pricing-system and its relation to information, what happens to the returns if the value of the kernel increases? In the short run returns will drop due to the aforementioned competition effect. This can be explained along the lines of the earlier mentioned article by Diamond and Verrecchia. They state; The reduced information asymmetry increases the competition [for a firms security] and reduces the volatility of future order imbalances [] increasing the temporary component of future security returns [Diamond and Verrecchia, 1991, p. 1343] As more information becoming public reduces the information, competition will increase. Standard economic theory suggests that when competition increases realized returns will diminish. It can also be explained by the fact that information limits risk (reduced volatility of future order imbalances), as risk is usually associated with higher returns. From which we can see that the pricing system works as a communication mechanism to further disperse information and aggregate perceptions and held beliefs (e.g. expectations) From this we learn that information plays a crucial part in the price discovery process and communication between players in the market. Even though everyones perception might be different the aggregation properties of information has the same strength as that of prices, albeit on a different level. Our perception of information is key to interpreting or the determination of the credibility of the quality of that information, as every perception is a virtual judgment. From the aforementioned we can infer that perceptions should then also be related to returns and the determinants of returns. As we will see later. Equivalently as we saw earlier, the environment, e.g. the economic reality on which we focus, presses its information upon us, from this we form expectations and beliefs and make inferences of how we judge the firms credibility or quality of the information provided or their deemed value creation. 1.7.4 Investment and Information As we have seen prices reflect information concerning the state of the world, and it is in again one of the statements of Professor Hayek where we find a key component to link this to investment. On the subject of information and elicit tacit knowledge Hayek states the following; It affects and informs the decisions of entrepreneurs and ultimately gets reflected in the prices that emerge in a competitive price system This implies that investors (or firms) base their investment decision upon their information set and (thus) the prices they observe in the market. How they perceive and interpret these sets or as Hayek states these little packets, determines the exact allocation of funds and means. Let us return to the previous quote we took from Hayek and expand this; The events [or perceived information] that makes the price of stock [x] rise by a dollar, like the events that make the price of [stock x] change by 10 cents, are inherently unobservable to economists or would-be social planners In the socialistic view we know that the social planners hold all capital, and that the pricing mechanism is distorted due to the fact that all capital is centralized. When dispersion of capital occurs, new information is brought into the market, and people are able to form conditional expectations and prices will better reflect these expectations. As the process of discovery is enhanced investment allocation and decision making will be more efficient. When people receive more information, the quality of their perception can improve and their beliefs complemented or improved. Investment than happens on the bases of an expanded set of information. As investment is based on perceived information, prices and future returns we can denote this in lines of the fundamental asset pricing equation [J.J. Cochrane, Asset Pricing, 2005];  Where  QUOTE   is the information set relevant at that point in time. The perception of information shape the expected future returns and the expected state of the world at (t+1) and through the competition effect lead to an aggregated prices which reflect all information sets of all individuals competing within that market. Perception is thus fundamental for investment, and thus as we have seen earlier fundamental for action (e.g. decision making). We will later discuss two asset pricing approaches, showing how perception can actually be incorporated into these models. 1.7.5 Action and Information We thus infer and evaluate our possible actions, or decisions, based on the information we receive pressed upon us from our environment. As Hayek argues that the essence of a competitive price system is that when a commodity becomes scare its price rises and this induces people to consume less of the commodity and to invest more in the production of the commodities, people are thus inclined to counteract the scarcity in an efficient way [Grossman, 1975]. It was Grossman in his article On the efficiency of competitive stock markets where trades have diverse information in which he stated that the previous statement from Hayek breaks down as the price system becomes more noisy. He then goes on to show that why the price system is noisy individuals want to know why the price has changed and that an optimal allocation of resources involves knowing why the price has changed [Grossman, 1975]. Grossman also showed that when prices do not symmetrize peoples information (e.g. do not reflect properly) there is a private incentive to open new markets and increase dimensionality. This can be interpreted as what we saw before from Diamond and Verrecchia limiting the information asymmetry and increasing the informational flow, simply by expanding the amount of tradable assets (e.g. in terms of asset pricing, inducing more spanning). Grossman develops a model in which prices are an average effect of preferences and expectations, this has as a consequence that one can see prices as a combination of all private signals and investors adjust their asset holdings accordingly. It is here that the perception of the signal determines the appropriate action. This is however, not very realistic, but if we allow for uncertainty in Grossmans model we can infer the following implications; Investors adjust their holdings depending on the quality of the market signal, or its credibility It must be possible to infer a coefficient that indicates the actual perception, which is the aggressiveness of the action responding to the signal Concluding that if there is information available individuals will trade on this, based on how they perceive the information obtain. From the aforementioned we can then conclude the following; Perception is the manner in which we become aware of the state of the world. It is the manner in which we develop our beliefs, expectations and structure our actions. In this way we can integrate the concept of perception in to economics, as it is a science which is founded on expectations of future returns and state(s) of the world. From the aforementioned issues we can infer the following claims that are to be investigated; If perception is constitutive for feelings, expectations and actions it should be related to economic variables and should correlate to measures of value creation. And it should thus be possible to incorporate this conceptions into economic variable. If perception is the manner in which we become aware of the world and signifies a manner in which we process information, it must be possible to convert economic information in to a factor of perception. We have thus seen how perception relates to fundamental issues in finance. The pricing process, obtaining required returns and the state of the world which influences our perception of our ability correctly interpret information. Chapter 2 Value Creation & Economic Value Over the past decades financial literature has been overwhelmed with theories of the firm. Each time, with the same questions, why do firms exist? Or why do firms produce more efficient than unorganized markets? We know from literature that the firms main goal is to create value for its shareholders . How we perceive the firms value creation then highly depends on the way we view firm and qualify their existence. Each point of view has its own characteristics and implications for how we perceive value creation. As we denote perception as the manner by which we become aware of the state of the world and the manner in which we develop our beliefs, we should first investigate what value creation actually is. 2.1 The firm as a value-creation based entity When we assume that the goal of each firm is to create value (for its shareholders) we have to know how those firms come to create value. From standard theory we know that investment and return on investments is the key to creating value. The initial starting point is that when a firm invests at a higher return rate than the financing costs of that investment, the investment creates value. To see how this relates to perception we consider the Keynesian theory of investment in relation to various theories of the firm. 2.1.1 Theory of investment In the history several theories of investment have surfaced, the most prominent one is the approach of J.M. Keynes. In viewing the firm as a production function he defined economic investment as the purchase of capital goods, whereas financial investment is the purchase of stocks, bonds and other financial instruments. Keynes saw financial instruments as alternative repositories for peoples savings. Here we first of all focus on how firms can use investment to create value. As a firm wishes to enlarge its returns, expand its revenues and find opportunities to grow in a sustainable manner, making investments are crucial. Firms undertake investments on the expectation that the new capital will add to profits (e.g. new market segments are exploited, new technology saves costs, M&A offers the firm competitive advantages, ect). In the Keynesian theory of investment, buying a piece of capital equipment is the purchase of the right to a series of prospective returns, which the firm expects to obtain from selling its output. The expected returns then depend on (a) the productivity of one unit of the investment, (b) the price at which the firm can sell the added output and (c) the added wage and material expenses that arise from the investment. We can mathematically express this as  Where R is the expected return per period over the life time of the investment, r is the discount factor, defined as the marginal efficiency of capital.  QUOTE   is the supply price of the capital (e.g. the price the investment has to pay). The marginal efficiency of the capital is then its marginal productivity as a percentage of the original cost of the investment, discounted backwards for uncertainty and risk. 2.1.2 The Firm as a set of production functions In the neo-classical theory of the firm, in which the firm is seen as a production function, value is created through technological change and efficiently optimizing production, e.g. maximizing profits and minimizing costs, given its technological capabilities. As Lewin (2004) stated; The firm represents a set of technological relationships[][or][][perceived] opportunities from which one can make a choice From this we can infer that the realized profits obtained is are nothing more than the difference between ex ante cost of resources and their ex post value, implying that the entrepreneur perceived the value of the marginal product more accurately than others in the market.[Lewin (2004)] The firm will then continue to invest up to that point where the marginal efficiency of capital (ex post considered as the Return on Invested Capital) equals the rate of interest (Weighted cost of capital, e.g. the cost of borrowing funds with which the firm wishes to invest). Box A double blade Within the Keynesian-framework of investment the marginal efficiency of capital is highly variable, as it fluctuates with the changes in peoples expectations of future returns from the investment. According to Keynes, increasing investment reduces the marginal efficiency of capital as (a) increasing amounts of capital compete with one another and (b) the pressure on the capacity of the firm which produces the capital that the firms want to buy causes the supply price ( QUOTE  ) to rise. R falls (  QUOTE  remains stable ( causing r to fall  QUOTE   rises ( R remains stable (no changes in expectations) ( causing r to fall The first blade; As the ex ante expected returns on an investment are subjected to peoples expectations, it is evident that the ex post return on invested capital depends on the uncertainty and risk which surrounds the investment decision. As we have seen from the previous sections the firm intends to create value, and it can only do this (per single investment) if the return on invested capital is equal or higher than the internal rate of return set by the firm itself. The higher the perceived risk and the greater the surrounding of uncertainty the higher this (required) internal rate of return must be. Implying that the firms perception about its own ability to create value is important with regard to the investment decision -, as the firm sacrifices liquidity by investing. The more negative a firms perception (of its own ability to create value) is the more dominant the liquidity preference is and three motives become apparent. We can summarize the motives as following: Transaction motive: The need for cash to pay for current business needs Precautionary motive: The desire to keep some cash on than for unforeseen events Speculative motive: The desire to hold cash while waiting for sentiments to change. The second blade; When the firm decides to invest, financing is needed. The investors providing the necessary funds, judge the firms ability to create value, as these investors face their own required rate of return (either on aggregate or for each individual investment). It is thus evident that the investors form their expectation, also based on the perceived risk and uncertainty surrounding the profitability of the (potential) investment. As we saw earlier, the firm has to be a credible party in the negotiations, and as the risk for outside investors increase, the firms credibility (of being able to deliver on promised returns) drops. When outside investors perceive there being a risk, that taking on a certain project will increase the probability of default they will ask a premium, causing the weighted cost of capital (as weighted between equity and debt) to increase. This implies that the firm needs only to gain the WACC on its investments to meet the requirements of equity and debt holders, the surplus can then be used, either as a reinvestment or can be paid out in form of dividends or to reduce debt. It is thus evident that when there is for instance a negative perception of a firms ability to create value, this will cause the WACC to increase, which again will worsen the perception. At the other side of the blade, a firm will postpone investment, when it doubts its own value creation ability and expects an increase in cost of capital when undertaking the investment. Thus the firm (should) effectively increase its internal required return for each separate investment. What becomes apparent from the aforementioned concepts is that, if a firm wants to create value it has to look for profitable investment opportunities. How the firm perceives its ability to create value (given a certain project or investment) has influence on the investment decision. On the other hand, the cost, that emerge with the investment (e.g. the cost of financing) should relate to the investors perception of the firms ability to create value and the firms ability to provide a (credible) return over a certain period of time. After having established how the firm generates returns through investment it is important we look at how investment facilitates growth and revenue, which plays an important role in the value creation process of the firm. 2.1.3 Investment as source of earnings and growth As we have noted from the aforementioned, a firm creates value by earning a return on its invested capital which is greater than the opportunity cost of capital. Which implies that the more a firm can invest at returns which lie above the cost of capital the more value the firm can create. Growth thus creates value and is facilitated by investment. This intuition comes from standard Corporate Finance theory, as return on invested capital and growth drive value. In establishing the value of a company often a DCF model is used (discounted cash flow model), this enables analysts to account for differences in value by factoring in the capital spending and other cash flows required to generate earnings. However, as undergraduates immediately learn, projected cash flows will not necessarily lead to insights about the performance of a firm. What does matter are the two value drivers, return on invested capital (relative to the weighted cost of capital) and the rate at which the firm can grow its revenues and profits. We can express this relation mathematically as:  Investing a proportion of the firms profit back into the firm thus facilitates growth. However this facilitation is not purely financial, due to the expansion of operations an increase in operating profit is (generally) expected. 2.1.4 The firm as a nexus of contracts If we see the firm as a set of implicit or explicit contracts, the firm simply exists of a set of contracts, and can then by definition be worth more than the sum of the individual contracts [Zingales (2000)]. However, value can be created when the cost of internalizing contracts is lower than the costs of outsourcing the contract to the market, and pay for the coordination mechanism [see Coase 1973]. This implies that growth is facilitated by the internalization process of contracts at rates lower than the costs of the market pricing mechanism. As Zingales (2000) noted, the value created by a firm can then be computed by subtracting from the firms payoff all the contractual payments to the other patrons of the firm. However it is in fact the case that firms are worth in the marketplace than the sum of its components, this is due to the unique combination of implicit or explicit contracts internalized within the firm, that the market perceives to be present within the firm. The way assets are deployed, financed and governed makes for a unique combination of investments. When this unique combination adds value, it is to be expected that the entrepreneur perceived the future additional value more correctly than the market. As Zingales (2000) noted; The firm, thus can be worth more or less than the sum of its parts [or the sum of the individual investments], with the difference being the net value of organizational assets and liabilities When entering an implicit or explicit contract the firm has to be a credible party, either in its goals of maximizing shareholder value or in delivering its services to customers or providing for its employees. The firms credibility, shapes the markets perception on how well suited the firm or its nexus of contract to fulfill its obligations. (See Appendix D for an elaboration on this subject) 2.1.5 Value creation The return on invested capital stands for the return the company stands to earn for each dollar invested in the business (or to internalize certain contracts);  Where NOPLAT equals the profits generated by the firms core operations after subtracting income taxes related to these operations and the invested capital is equal to the cumulative amount the firm has invested in its core operations. Along the aforementioned lines we define the investment rate as  Different levels of value creation can be the result of different combinations of growth and returns, however it seems clear that a higher ROIC cannot always lead to higher growth. This is especially the case if a firms ROIC is already high and additional investments will only increase costs, due to the capital competition effect. However the reverse is also true, firms with a low ROIC can create more value through investment, thus increasing the IR. Even though the levels of the return on invested capital matter, it is still very important to note that the firms ROIC is judged relative to the weighted cost of capital the firm faces. Equivalently how the firm performs against the investors expectations and the minimum obligations it has to its investors.  If a firm faces higher costs of financing than it will earn on its investments, growth in earnings would still be possible, however it will destroy value. This means that as the earnings growth increases the firm loses more value, investment can thus destroy a firm. As a result investors would be better off investing their funds elsewhere, if the ROIC is smaller than the WACC.  If a firm faces costs of financing that are equal to the returns it will make on its investments, we can state that additional earnings growth added due to the investment does not [for any level] create additional value. Which appears to be true as investors will not pay a premium for additional growth if they can earn the same returns elsewhere.  If a firm faces higher returns on investment that the costs of financing, for each additional percentage of earnings growth an increasing amount of value (dependent on the level of the ROIC, assuming a constant WACC) will be created. The difference between the WACC and the ROIC is also called the economic spread. Equivalently the difference between the ex post realized returns and the ex ante expected credibility of the firms proposed targets and perceived unique organizational capabilities to create value. Value creation of a firm is initially something which is reflected upon ex post (after it has taken place over a certain period of time) however, this ex post reflection turns into an ex ante factor of perception in the evaluation of future value creation potential. This implies that the internalization process of contracts has a diminishing characteristic, and the ex ante perceived opportunity to create value, can fall short of the ex post realized value created, when the cost of internalizing a certain contract pans out to be higher than the proposed return. Investors thus process historical information to as we saw earlier formulate expectations about future profitability of firms. It is then only prudent to see how historical performance is measured and is perceived. 2.2 Historical performance As we stated earlier the value and the value creation of the firm are driven by return on invested capital and growth in earnings. However, if we were to solely use these two measures to judge the performance of a firm, it is likely one is to make a mistake. One of the disadvantages of ROIC and growth as a measure for corporate performance is that they both are measured as percentages, and do not incorporate the absolute level of value creation. We can bypass this problem for the ROIC and relate it to the actual invested amount and the cost of financing the investments. This relation results in:  Besides the fact that the Economic Profit can be used to compare a firms performance to its peers, economic profit can also be related to the trade-off between growth and ROIC. It then thus becomes apparent that firms with high ROIC and superior growth within, an industry, might generate those results on much less capital than its competitors. The economic spread (ROIC-WACC) signals the difference between the ex-post realized returns of the investments made and the ex-ante expected obligations the firm should meet, in order to maximize shareholder value and not breach its debt covenants. The larger this spread is the more value the unique combination of assets flowing from the investment can create. Besides those obvious reasons, economic profit has as an advantage that it is not subjected to one-time gains and losses. For these reasons economic profit will be one of the main subjects in our investigation of historical performance with regard to firms value creation and how it is perceived. The firms potential to generate future economic profits is judged (or reflected upon) by investors players on the financial markets, translating their expectations into prices, from which returns arise. It is thus prudent to also look how a firms stock market performance relates to perception as current prices are a result of expected future cash flows. Chapter 3 Stock market performance & Asset Pricing The final part of evaluating a firms performance is as mentioned earlier looking at the firms performance in the stock market. This is an analysis in which the investor, or CFO of the firm in question asks whether the firms stock market performance accurately reflects the firms ability to create value in the future. The question is concerned with corporate prospects as they are perceived by the market. The most common approach to measuring stock market performance is to measure total returns to shareholders (TRS);  It must however be noted that this measure has significant limitations. TRS does not measure actual performance, but it measures performance against expectations and beliefs in the market. A second problem is that whatever metrics we use for the measurement of a companys performance on the stock market, the market is always limited in the information it contains, so deviations will always take place. However the first problem described, we can mitigate by using the concept of market value added and market-value-to-capital. These both measure the stock markets assessment of how much value a company can create in the future.   These metrics complement TRS by measuring different aspects of a firms performance and its value creation ability. Where TRS can be linked to the measuring of performance against expectations and the change in these expectations, MVA and MICAP can be linked to the current expectations of future performance, relative to previous information on the absolute levels of performance. We also focus on the value that is directly added for shareholders, e.g. shareholder value added (SVA);  The SVA can be seen as the residual profits, which are left after all obliations to debt and equity holders are fulfilled. It is the surplus which is used to pay extra dividends or to reserve for future payments. Along these lines it is important to get an interpretation of the firms ability to create value, compared to what the market thinks about the firms intrinsic value creation potential. As firms have a higher ROIC and a large growth potential in the short run, it is implied that on the long run, sustaining high ROIC and growth will be difficult. This information will then be incorporated in the prices of the different securities on the market. However there are different sources of ROIC and growth, whether it would be M&A, increased investment, or improvements in cost efficiency, the fact that growth and high ROIC cannot be sustained without higher effort in the future gives rise to the following thought: Each firm exists to create value, whether it is through an efficient allocation of sources, efficient bundling of contracts or through the implementation of a value creating governance (see appendix D). The firm creates its value in a world of uncertainty, risk and conflict. It has to resolve uncertainty for its investors, limit the risks and be a credible party in its contracting policy. How the firm is able to exploit new opportunities and create value, in the short-term as well as in the long-term, determines how sustainable the firms return and growth rate are. How analysts think about the firms ability to create value, given the circumstances of uncertainty and risk, we denote as the perception of value creation. The firms historical performance, expectations of its potential operational and market value creation, shapes the perception of that value creation process, it shapes the prices we observe in the market place and determines the returns we can make by trading on the information we posses. It is here that we return to the asset pricing literature, to investigate upon the relation of this perception with observed prices and returns. As we saw in earlier, asset pricing literature is the basis on which we need to fall back, for prices that are observed in the financial markets are the sum of the expected cash flows to investors, thus the expected profitability of firms. 3.1 Asset pricing and perception 3.1.1 The goal of asset pricing In order to link asset pricing to perception in a fundamental manner, we first have to ask the basic question; What is it that asset pricing does?. The answer to this might seem very straightforward; As Cochrane [2005] describes it; asset pricing tries to understand the prices or values of claims to uncertain payments. In asset pricing, economists, to value an asset, have to account for the time delay and for the involved risk. We can learn to understand why prices and returns are what they are [positive research] and we can learn or investigate why assets are mis-priced, e.g. normative research into the question, what should the world be like. As Cochrane continues he describes the central task of asset pricing as following; [] to understand and measure the sources of aggregate or macroeconomic risk that drive[s] asset prices In this thesis we then focus on the positive approach, and ask ourselves why are prices and returns we observe in reality what they are? And how have they come to be? It is my position that prices and returns come to be based on our perception of the dynamics of this reality. Perception should be constitutive for prices and returns. 3.1.2 Perception introduced into asset pricing As we saw in chapter 2, prices are aggregated beliefs of players on the financial markets and reflect the average [aggregate] perception of future expected cash flows. We also saw that prices are determined by the basis asset pricing equation. Hence,  From the basic asset pricing equation various models can be constructed to provide explanation for observed prices and returns. These models which can be constructed then give rise to explanations of how the price-mechanism coordinates information. It is these models into which we need to try and incorporate factors of perception, which we will denote as;  This perception factor can come in many shapes, as we will see in chapter 5, what is important however is how we are to incorporate this factor into asset pricing models. As we investigate prices and returns in this chapter, we look at the most commonly used models to explain prices and returns. We will investigate the random walk hypothesis (with respect to prices), Capital Asset Pricing Model and the Market model. 3.2 Random Walk Hypothesis The random walk hypothesis states that future prices follow a deterministic path, dependent on their past prices. More explicitly, if all information is incorporated into the current market price, which equals the current equilibrium price, prices should not be expected to change, unless there is new information. [Assuming news is by definition unpredictable] We can express this mathematically;  The random walk hypothesis thus states that there is no difference between the probability distribution of returns (given the set of information) and the unconditional distribution of returns. Concluding that returns should not be predictable and that it is impossible to predict changes in prices. New information might per definition be impossible to predict, but we can stipulate that if a certain perception has been formulated in the market, new information will be interpreted within the parameters of that perception. The analogy with the EMH should then be clear, if the market is processing information in an efficient manner, all relevant available information will be reflected in the prices and prices follow a normal random walk [Van der Sar, 2002]. However, if we take the stance that the manner in which information is interpreted varies over time, the random walk paths might thus also differ over time. It has however been widely established that stocks do not generally follow a random walk, certainly not on the long-run and the EMH does not in general imply the random walk hypothesis, see LeRoy (1973) and Lucas (1978). If we translate the random walk hypothesis in to a regression equation we see the following (denoted in logarithmic scale);  The random walk approach then looks at how well previous prices predict future prices, it however ignores the possibility that information might be differently incorporated into prices in different periods. We can then incorporate the perception of information, to compensate for this, in two different manners; Modify the regression to reflect different periods of perception. (See chapter 4 for the methodology on dummy construction)  Where  QUOTE   then reflects dummies of different categories of perception (third dimension, see chapter 4). This enables us to see how a firms stock prices moves with its stock price from the past in different environment. In a period where the perception category is reflecting a negative perception, the random walk might take a different shape, hence  might be differ between categories of perception. Investigate on the correlation of a factor of perception with the residuals from the basic regression. First estimate:  Then because we know that in a (normal) random walk situation price changes should be equal to the observed error, we then look at the correlation of the residuals to factors of perception. Again we use dummies of different categories of perception to make visible how the residuals of the basic random walk equation differ in different periods of perception. It is for instance possible that in a time where the perception of information is very positive, the residuals are significantly higher, than in periods of very negative or neutral perception. Using these two approaches we can analyze if incorporating perception into a random walk model is relevant and improves our estimation and prediction of price changes and thus future returns. It is then the determinants of those returns and the explanation of these returns (in the Capital Asset Pricing Model (CAPM)) we turn to. 3.3 Determinants of returns Over the year a significant amount of effort has been spent on the question which factors explain stock returns. The first assumption is always, higher risk, results in potentially higher returns. Thus risk should be one of the main determinants of returns. However, we should ask what is risk. As is often stated, the risk that determines stock returns is the systematic sensitivity to the market of a stock, measured by beta (). As beta increases the stock returns become more volatile depending on market movements. This volatility is the true risk, as the volatility increases, uncertainty increases with it and potential [expected] losses increase (as do potential [expected] gains), however the uncertainty surrounding the distribution of these returns increases. There are however, other determinants of returns, Fama and French (1996) list the following; size (M, the stock price multiplied by the number of outstanding shares), book-to-market (BM, the ratio of the book value to the market equity value), earnings-to-price (EP), cash flow-to-price(CFP) and the debt to equity ratio (DER). Each of these determinants have their own explanation for their explanatory power, we will briefly discuss them. M, the size factor, has a simple explanation. As a firm is larger in size and is valued more by the financial markets, its ability to create value is deemed to be higher, thus effectively raising the returns that are expected of a firm with a particularly high market valuation. A high market value then might signify future profitable opportunities for a firm, however this size factor should be interpreted with a lot of caution, as it is an absolute measure which is relatively uninformative, this is why we leave this out of our research. BM, then reflects the markets perception of future opportunities relative to the current book value of the firm, denoted as firm specific opportunities. Inversely this factor can also be denoted as a proxy for relative distress. Rosenberg, Reid and Lanstein (1985) show that stocks with high BM have significantly higher returns than stocks with low values for BM. Fama and French (1995) show that weak firms with persistent low earnings tend to have a high BM additionally Chan and Chen (1991) show that there is a co-variation in returns related to the relative distress which is not captured by the market return. EP, is a measure indicating at which rate investors will gain on a firms expected earnings in the future. Basu (1977) showed that stocks with high EP earned significantly higher returns than stocks with a low ratio. A high EP will signal that investors can capitalize on the high earnings and that the market is lagging in capturing the corporate performance in the price. Investors can then capitalize on the future expected price increase (Fama, and French, 1996) Inversely a low EP, is linked to negative stock returns. The same line of reasoning goes for the CFP factor. DER, which is a measure for the firms capital structure. Bhandari (1988) show that firms with high leverage earn on average a higher return than firms with low leverage. This result remains after controlling for market risk. Increasing leverage, would mean an increase in risk for equity investors, which should be prices into the market beta, this is however not the case. These described factors can be of course be incorporated into asset pricing models like the 3-factor model developed by Fama and French, it is however not our objective redo the analysis of Fama and French and incorporate a factor of perception, though this might be a good initiative for future research. We will however introduce these variables into an explanatory regression and see whether or not the factor of perception maintains its correlation and explanatory value when these control factors are added. We then continue to discussing the CAPM in which only systematic risk is incorporated and see how we can successfully introduce a factor of perception. 3.4 CAPM The CAPM is essentially derived from the basic asset pricing equation and is a descriptive model which has, compared to the portfolio-theory [Markowitz, 1952 and 1959], additional assumptions. The CAPM seems partially able to explain observed returns, probably due to the abstractions made in the generation of this model. The main factor in explaining the observed returns is beta, the measure for systematic risk, which is a symbol for the sensitivity of a stocks returns reflected by the market. We can express this mathematically;  We can also express this in terms of excess returns;  Systematic high return without any power of explanation for beta is contradictory to the EMH, however due to the amount of abstractions made in the CAPM its realistic value is highly doubted, nonetheless it is often used in practice. We should be now able to integrate a factor of perception into the CAPM, as in its basic form the CAPM is a one-factor model. Why is it then use full to see how perception can have additional value for the CAPM? If the price discovery is correct, and all information is incorporated perfectly, our perception of events or a firms ability to create value should not matter. However, if we assume this is not the case an our perception does matter, our actions influence the returns we can obtain in the market and thus our perception can be related to returns and thus incorporated into the CAPM. How can we then do this? We can do this in two distinct fashions, using the following regression equation;  Add an additional factor to the model signaling perception, thus transforming the regression equation into;  Where  is then some measure or proxy of perception, either categories or absolute values of perception, and the perception beta states how much of the excess return is explained by the interpretation of information. For instance a very positive perception could very well mean that the excess return will drop, as everyone observes the same information, inducing a buying cycle. On the other hand it could very well be the case that a higher perception would signify higher returns as, the reflection is based on the firms ability to create value. Also we can look at the changes in  and how that relates to the observed excess returns. Use categorical factors of perception, transforming the regression equation into;  Where  QUOTE   is then again a dummy for any of the categories of perception, this construction answers the question of the observed systematic risk factor beta differs in different periods of perception. If the betas for a particular asset might differ between periods of perception, this might be used as a tool to improve risk management and diversification. Another interesting approach often discussed in economic literature is the ATP (Arbitrage Pricing Theory), we can write the regression in the following manner;  Each beta coefficient then represents the sensitivity of an asset I to risk factor n, and  QUOTE   is then the risk premium for a factor. Contrary to the CAPM we now have a descriptive model in which not only the market beta can explain returns. Adding a factor of perception into the asset pricing models can have the potential to give better explanation of observed prices and returns. For reasons of simplicity we only discussed the random walk approach and the CAPM, however along this line of reasoning it would also be possible to incorporate factors of perception into other asset pricing models such as the three-factor Fama and French model. From what we have seen in this chapter we can make the following claims; There should be a factor of perception which relates to; Prices and Returns Operational value creation Market Value creation This factor of perception can; Be incorporated into asset pricing models Be highly (significantly) correlated to measures of operational and market value creation. Chapter 4 Hypotheses, Data and Methods The question now is how do we measure perception? How do we relate perception to the process of value creation? How do we interpret findings? The determinations from previous chapters, will be our guidelines, however the measurement and interpretation of perception needs substantial clarification as this is a whole new approach for economics. In this third part we elaborate on the various methodologies used to gather data, link the data to theory and to formulate an interpretation of the data and their eventual results. This part will be constructed in the following manner; section one will concern the methodology with regard to the concept of perception. The second section will address the data gathering and interpretation process of the economic variables used to relate perception to the process of value creation. In the third section hypothesis will be formulated using a combinatory approach of section one and two. 4.1 Methodology of Measuring Perception As perception is defined as an intuition of feeling of the things that we reflect upon, it is to show that perception should consist of the relation between two entities. In this case we thus talk about the correlation between information and that what we reflect upon. Information we gather or acquire shapes our cognitive process and stimulates the interaction of the different realities. These realities consist of the things we reflect upon, and in linking perception to the concept of value creation we face at least two realities outside ourselves. So to now return to the soil of economics, what are these two realities? Value creation for the investor, can occur through investing in an index or investing in firms. Though linked these are two entirely different sets of reality, however both belonging to the realm (or environment) of value creation. We thus have to look for that information which relates to the shareholder value creation pertaining to these two realms. Based on an ethnographic data gathering process we can acquire sets of data for either indices or firms pertaining to the process of shareholder value creation. As mentioned earlier we only focus on the information which is relatively costly available and take newspapers as the primary source of information. 4.1.1 Ethnography Ethnography comes in many forms, whether it is a full or partial description of a group (ethno; folk, graphy; description), to identify commonalities and patterns does not really matter. The product of ethnography is the description of a social experience, which focuses on an entire group (Goudling 2002). It focuses on the cultural system [or process of thought] of the group under study and provides a description of the interactive processes within and with that group. Boyle (1994) lists three characteristics that are common to all ethnographic studies; Holistic and contextual in nature Reflexive in character It always involves the use of emic (outsider perspective) and etic (insider view) data The holistic and contextual nature of the research approach involves placing observations into a larger perspective, in other words, relating information and data gathered to a larger environment. This is done to better understand peoples behavior and to [eventually] move beyond pure description and identify circumstances under which events occur, making this methodology a perfect fit for analyzing perception with respect to the process of shareholder value and value creation. The reflexive character of ethnographic research enables us to take a proper stand towards the information gathered and have an abstract view of the theory. The information related to the relevant realities are gathered and put in a holistic and contextual framework, which enables to eliminate factors irrelevant to the study. Though the perception of value creation can be influenced by many things, the most prominent determinants remain as they best reflect the main characteristics of value creation. As described earlier in dealing with the concept of perception and value creation we face a double blade. The investors looking for profitable investment opportunities have their perception of the abilities of the firm (or index) and relate their information to this perception and incur modification. However, the same goes for the management of the firm, who evidently strive for value creation and under the assumption of shareholder value maximization know they have to create value, through expansion and investment. We thus have a bilateral view, that of the investor (emic) and that of the firm (etic). In this thesis however, we put the main focus on the emic perception of the firms ability to create value. This does not result to methodological problems as this is one of the most common strategies in the field of ethnographics. 4.1.2 Linkage to theory: Discourse & Ethnographic Categorization It is because of the ordinary meaning and usage of the word perception that we have given a proper description of the true meaning of the concept of perception. As the concept is as broad as it seems we have described it in a fashion making it applicable to economic analysis and leaving its meaning of the normal discourse intact. It is through the ethnographic categorization that we find an applicable methodology to integrate perception into economics. The data collection, to maintain the public discourse and come to an ethnographic categorization of the concept, consists of two stages; Figure  SEQ Figuur \* ARABIC 2; Amount of newspaper publications regarding "shareholder value" The first stage consists of identifying the appropriate source of data for the research. In economics we find that information plays a crucial role in determining beliefs and expectations. When we assume that all investors face the same set of information (e.g. all information is publically available), we come to the conclusion that newspapers are the appropriate source of data to eventually construct a quantitative concept of perception. Also as mentioned earlier newspapers are relatively costly available, limiting an investors transaction costs of gathering information, inducing a behavior of infinite information gathering. Further, we limit our research to Dutch firms and the AEX-index, making it possible to only use Dutch newspapers as the tool of analysis (see appendix A for the details on the research of the correlation between newspapers and the AEX-index). The newspaper articles were selected through the database of LexisNexis. In this first stage we count the number of newspaper articles concerning the subject of shareholder value, we do this for firms (firm specific public information, on an annual and monthly basis) and the AEX-index shown above- (general public information, on a monthly basis). However for firms the search parameters are somewhat different. As we then focus on firm specific information and are dealing with contextual data, the data-mining would then to much depend on the search parameters. Therefore when counting the total amount of total newspaper publications with regard to firms, we focus on all information published about that firm, in which their full name is expressed in the headlines of only financial newspapers and assum that all firm specific information is relevant to shareholders. See appendix A how the amount of newspapers correlate to economic variables. General newspaper publications regarding shareholders Search parameter: [in text:shareholder value] Firm specific newspaper publication regarding shareholder value Search parameter: [headline: Firm name] The following firms were selected, AHOLD NV., AKZO Nobel, Randstad NV., Philips Electronics NV, SBM Offshore, Wolters Kluwer, Royal Dutch Shell and Unilever. These firms were selected because of their popularity and the attention they receive in the newspapers, which enables us to severely limit the size of the dataset as the quantitative research is labor-intensive. In this phase as Goudling (2002) would describe it the observations are unfocused. The first stage of the data collection is then simple to later relate to the total amount of public information (per period) to different economic factors, illustrating that the categorization developed in the in stage two adheres to the criteria of validity. Box Validity, Authenticity and Resistance In selecting the appropriate methodology to investigate the concept of perception to the value creation of firms, we come across one of the most difficult issues in the field of methodology. The question, how do we maintain validity? As described in the first stage we count the number of publications of articles regarding shareholder value and later in stage two these articles will be interpreted to form a measurement of perception. However, as we all well know the outcome of such a research is always (heavily) influenced by the attitude of the researcher. As such any research program, in which interpretation of factors other than the eventual results, will offer only limited objectivity. Again however, this limited objectivity poses no threat to the research program as long as the data and the results remain valid for their goal. It is well known that validity is not like objectivity; in the case of validity we ask ourselves if our data and eventually our findings are sufficiently authentic. Validity as authenticity In subjecting newspapers to analysis, whether it is counting the absolute amounts or interpreting their content, researchers thus run the risk of substituting numbers for a rich description, this can be avoided by the holistic (contextual) and reflexive character of the ethnographic methodology. In this research we maintain data-validity (with respect to the concept of perception) by taking a critical stance and ask; Is our data isomorphic to the reality under investigation? and Is our data trustworthy?. Trustworthy in this case, means that the data should relate to other constructs (or concepts) in the reality under investigation. By first investigating the total amounts of publicly available information, we investigate if our data indeed relates to other constructs within the realm of economics. Before proceeding towards the interpretative methodology at the heart of the research program, the construction of a quantitative measure of perception.  In the second stage of the research we come to the interpretative core of the research, the actual quantitative construction of the concept of perception. After we have counted the absolute amount newspaper publication and established their at least theoretically isomorphic character to the realm of economics, it is prudent to interpret the contents of these publications, as investors (emic stance) of course do the same in their analysis. It is here that we start looking at the contents of the publications and bring structure to the gathered data. We do this using a contextual analysis divided into two parts: 4.1.3 Coding and Framing Categories The first step is to identify the categories of information we wish to investigate and thus ask ourselves on what issues a shareholder focuses his attention? The answer is rather simple, first of all he focuses on profitability, and secondly he focuses on future profitability, with respect to the information set he possesses. Analogically in his information set he concentrates his attention to publications on a firms profit and industry development, in this thesis however we only focus on the perception of profit. Thereby identifying the categories by which we conduct our research program. Newspaper articles which report on the profitability of a firm Search parameter: [headline:Firm name AND profit] Having identified the categories of study we have brought a first type of structure into our data. The separation between publications on profitability and changes within an industry are key to this research, for the simple reason that investors beliefs and expectations are developed in the same structure at least this is assumed. Having done this we can continue to the second step where we code and frame the content of each publication. In the second step we no longer look at the absolute amounts of newspaper publications, however we transform every data-item into quantative data-entry. This means that we look at the text of each publication, and assign a value to it. This value is to reflect the nature of the information, which a particular publication contains. With annual data, this means that we read all newspaper publications say concerning the profits of a particular firm and for each publication assess whether the publications content signals a positive or negative signal for shareholders. For this we use the following coding scale: -3Extremely negative-2Substantially negative-1Slightly negative0Neutral1Positive2Substantially positive3Extremely positive Through this coding process we can categorize each publication by applying labels that reflect the concept of perception. Having done this for each data-point in time we can aggregate the codes, which give a number. (For example; twenty extremely negative newspaper publications in January result in an aggregated -60 (20 x -3) [it is easy to infer that this would result in an extremely negative perception of a firms ability to create value]) The number we get after the aggregation we denote as . Using this coding scale we can construct several frames in which we can express the perception regarding a certain subject. We use the following frames;  > <Frame (first dimension)-0Negative05Positive58Very Positive8Extremely Positive Then by coding these frames we finalize the process of quantifying the concept of perception, we do this in the following manner; FrameCode  QUOTE   (second dimension)Factor (dummy) (third dimension)Negative0Positive1Very Positive2Extremely Positive3 Using this synthesis of the content analysis we have pooled the data according to their linkage in economic theory and maintained data-validity. Accordingly we can construct other variables to reflect relative changes and dummies do reflect frame and category specific ideas. 4.1.4 Assumptions With respect to the measurement of perception the following assumptions have been made, some of which we have mentioned earlier; Newspapers are the appropriate source of perception (see appendix A for supporting evidence). Investors are generally overconfident and thus only update their beliefs annually; as such perception measures only change annually. Factors of perception are aggregates, and which are thus averages, without a constant mean. Frame parameters are stable and do not change over time. Information is analyzed under the assumption the firm strives for shareholder maximization. Box Validity, Authenticity and Resistance (continued) Through the usage of the categories from step one and the coding and framing established in step two it is argued to have maintained data-validity even though the interpretative process gives only space for limited objectivity. Data-validity is maintained in the sense that we should view validity as resistance. Validity as Resistance The way to achieve [] validity is by examining the properties of a crystal in a metaphoric sense. [] The crystal which combines symmetry and substance with an infinity variety of shapes, substances, transmutations, multi-dimensionalities and angles of approach. (Richardson, 1997) We feel how there is no single truth, we see how texts validate themselves. [] We know more and doubt what we know. (Richardson, 1997) The previous quotes demonstrate that we can apply different categories to different data and provide an infinite variety of shapes through coding, framing and categorization, but that the validity still depends on the texts and contents of those texts. The crystal (the pure data) remains the same, but however can be turned, shaped and approached from different angles, meaning it is the researchers story that makes the data valid in its own context and through the refraction of those angles and the chosen through the holistic nature of ethnography methodology of interpretation maintains the validity of the end results. The data and thus eventually in the case of a proper holistic interpretation the end results are able to resist a lot of criticism, which is based on the limited objectivity the data-interpretation process gives. We give shape to this methodology of interpretation through the framing and sense making perspective.4.1.5 Interpretation: Framing and Sense Making Perspective To be able to interpret the structured data we make use of the framing perspective combined with the sense making perspective. These two separate methodologies for interpreting data and results provide clarity on the deeper meaning of the content of various texts and how these contents are perceived. The aforementioned construction of the negative and positive frames captures the process by which investors interpret the phenomena in their reality upon which they focus. Along the lines of Benford and Snow, these frames constitute schemata of interpretation that organize experiences and guide action. The framing process we described denotes an active, processual phenomenon that implies agency and contention at the level of reality construction (Benford and Snow, 2000). This approach is capable of justifying the construction of the dimensions of perception as, prices, returns and types of value creation (and their changes) are considered events upon economics reflect, adjust their beliefs, form new expectations and act. Often the frames that arise are then referred to as collective action frames. This approach is capable of justifying the construction of the dimensions of perception as, prices, returns and types of value creation (and their changes) are considered events upon economists reflect, adjust their beliefs, and form new expectations and act upon the perceived information. Often the frames that arise are then referred to as collective action frames, which in this research are used as justification of the claims of Hayek and the categorical construction of the perception factors. Collective action frames are action-oriented sets of beliefs and meanings that inspire and legitimate the activities of a social movement organization (Benford and Snow, 2000) In this case we should not take the term social movement organization as literal as it sounds, as it is simply a metaphor describing the social group which is influenced by the constructed frame. In our research this social movement organization would be the investor, whos perspective we have adopted in our emic ehtnography. As often is the case in societies, and thus in its studies, opinions come in conflict with each other. It is however, in the field of economics the pricing mechanism which can aggregate these opinions and mitigate or partially resolve any conflict. Accordingly the process of framing is also subjected to conflict as different versions of reality are supported by different people, even within the same environment or realm. Frame disputes are inherent to public discourse, erupting especially when events undermine hegemonic interpretations of reality (Benford 1997) What becomes clear here is that there is a distinction between the schemata used and the frames which have been constructed. The schemata are the expectations of the various subjects about other people, objects, events and settings in the world. The frames then aggregate and align these perspectives and perceptions, making the framing perspective an attractive methodology for data structuring, but also interpretation. In the construction of the frames, discussed above, we focus on two key components which are heavily discussed in the collective action frames literature. Inclusivity and flexibility; When constructing frames that are designed to capture the preferences and opinions of a large number of realm-participants (investors) it should be clear that the constructed frame should be rather broad. Why? Simply because no investor is equal to any other investor. In economics we act in a world with heterogenic expectations, beliefs and thus also heterogenic perceptions. If the constructed frame would be exclusive rather than inclusive we run the danger of leaving out the perceptions of those who deviate from the gross. Even though categories are established, these two can still be entwined to increase the variation in the frames interpretive scope (discussed below). Also the focus on flexibility is important; as we look for a frame that is highly inclusive we should also be able to distinguish relevant factors of study within that particular master frame. It is thus the flexibilities on the level to which a frame can be entwined with another frame, but also internal interpretative flexibility plays an important role. By focusing on inclusivity and flexibility we ensure that we capture as much relavant data for as many actors in the economy such that perceptions can be accurately aggregated. As the inclusivity and flexibility of the constructed frames grow they are more likely to develop into master frames. Master frames are frames that color and constrain the orientations and activities of multiple movements or groups within a realm. Although it is not our objective to construct or identify a master frame in this research program, it is in fact warranted that our constructed frames have the theoretical potential to be developed into master frames, this to create a variation in interpretive scope and increase the potential influence of the research. Frame resonance: The concept of resonance is relevant to the issue of the effectiveness or mobilizing potency of the constructed frames (Benford and Snow 2000). This means we focus on how the frames relate to events in the world and how they reflect or constitute the development of beliefs, expectations and action. There are two factors that account for the variation in degree of frame resonance; credibility of the frame and its relative salience. (See appendix E for an elaboration on credibility and salience) It is here that we see that the framing and sensemaking perspective provide a suitable tool of analysis for our research and are indeed compatible. As frames are the central organizing idea for making sense of relevant events (Gamson and Modigliani 1989), sensemaking than implies that the world does not come to use in a raw form, but that we actively construct in, and that we depend on those who construct the frames. Gitlin (1980) argued that the media constructs certain frames, and organize the world for both journalists who report it and for us who rely on their reports. As frames then bring order to our cultural system, because they make sense of reality, the sensemaking perspective enables us to investigate the internal structure of those frames. Put differently; If framing and sensemaking thus focus on different aspects of the meaning-creation process, it is the framing which focuses on whos meaning win out in a contest, sensemaking shifts the focus to understanding why such frame contests come in to existence in the first place and how they relate to structural changes. From this we can infer that changes in frame prevalence and content or structure, reflect changes in reality or structural factors within this reality and thus the perception of the reality in subjected to change. The process of though and the way investors categorize and frame their expectations, beliefs and construct their actions accordingly are thus subjected to change. And as these investors are not homogenic in their perceptions, the arising conflicts and the immanent change to which economic factors of shareholder value and value creation are subjected, the framing and sensemaking we propose here reflects those changes which are most fundamental to the realm under investigation. These changes are reflected in the pricing mechanism inherent to the modern economic environment, making our analysis of the frames of perceptions valid for economic research Then we realize that we are back to the philosophy of Professor Hayek; Economics of information provides a systematic means of identifying and classifying the wide array of problems that informational asymmetries can produce.[Caldwell; Hayek and Socialism 1997] The produced informational asymmetries occur when the investors frame prevalence significantly differ internally (across different investors) and differ externally (difference in perception between investors and firms). Analyzing the frames and the changes of and within these frames and their relation (correlation) with structural economic factors, which are determinant for shareholder value and value creation, gives us the ability learn how to understand information and act accordingly. 4.2 Measurement of Economic Variables In light of the previous section it is mandatory to show how we come to our objects of analysis and account for the assumptions made during the calculations. In this section we discuss the most prominent economic variables used in obtaining the results shown the next chapter. First we start with the construction of prices and returns and the risk-free rate, after which we will continue to discuss the calculation of return on invested capital, weighted cost of capital. These are the factors from which we eventually construct, as shown before, the measures of value creation. At the end of the section we will briefly discuss the argumentation for the firms used in the analysis. The following databases were used to acquire the necessary variables; WorldScope Thompson Financial DataStream SOURCE OECD 4.2.1 Prices, Returns, Risk-free Rate In calculations of the prices, no assumptions were made, and end-of-the-month / end-of-the-year prices were used. When we assume that no dividends are paid we can formulate returns in terms of logarithms and incorporating the Rational Expectations Hypothesis we can formulate returns in the following manner (it is assumed that log prices follow a random walk with drift);   The same goes for the index in question (AEX). The returns can also be calculated using changes in prices.  With respect to the risk-free rate the following assumptions were made; Risk-free rate is rather stable over time, does not change within a year. Consistent with the assumption made that perception does not change within a year. A 10-year Dutch government bond best represents a risk-free investment opportunity, in comparison to the Dutch data set constructed. Annual data was retrieved for the 1-month 10-year government bond, for use with monthly date the following formula was used to convert this data;  4.2.2 Invested Capital The invested capital was calculated using the following scheme; Short term debt and current portion of long term debtLong term debt excluding capitalized leasesDebt capitalized lease obligationsDebt and Debt equivalentsExcess CashNet DebtProvision for Risks and ChargesDeffered Taxes Minority InterestsTotal Shareholders EquityInvested Capital Note that the displayed calculation is from the liabilities side, the methodology was checked using the asset side. The following assumptions are underlying the calculations; Debt; It is assumed that debt includes any short-term or long-term interest bearing liabilities. Capitalized lease obligations; It is a assumed that firms with substantial operating leases should capitalize those leases, treating them as an asset as well as they are resembling debt. Excess Cash; It is assumed that the cash is not used to reinvest into the firm, as it is unnecessary for core operations. Excess cash is calculated using the formula  QUOTE   Normal cash; It is assumed that normal cash represents 1% of sales, to represent normal cash holdings to carry operating expenses. Provisions for Risks and Charges; It is assumed that provisions are noncash expenses that reflect future costs or losses, equivalently provisions are made, are invested into the future cash flow of the firm Deferred taxes; It is assumed that deferred taxes do not represent a future cash flow outlay, as it resembles a tax incentive that governments provide to encourage investment. Minority interest; It is assumed that a minority interest occurs when a third party owns some percentage of the companys consolidated subsidiaries, it is includes because the interest in the subsidiary is an investment in future cash flows and resembles a financing flow. 4.2.3 NOPLAT Net operating profit less adjusted taxes, from which in combination with invested capital the ROIC is calculated, was constructed in the following manner; Net salesCost of merchandise soldSelling, general and administrative expensesDepreciation, depletion and amortization Adjusted EBITAdjusted TaxesNOPLAT The adjusted taxes were calculated using, the corporate marginal tax rate for each firm, computed over the adjusted EBIT. 4.2.4 Weighted cost of capital The weighted cost of capital used in the value creation formulas was constructed from the weighted costs of equity and debt. Weights of equity and debt; Obtained from Thompson Financial, we assume only debt and equity are factors in contributing to the weighted cost of capital, this was done for reasons of simplicity (e.g. no preferred equity, convertibles or warrants were included) Required return on equity; The required return on equity was calculated using the CAPM. The following regression was run to obtain annual betas [monthly data was used];  After obtaining annual betas we again used the basis of the CAPM, to come to the required return;   Rp (Risk premium); It is assumed that equity requires a risk premium dependent on the firms systematic (market) risk. This premium was set at 4,5% and is assumed to be stable. Required return on debt; The required return on debt was calculated using the credit spread-methodology;  CS, is the credit spread, which was calculated with the interest coverage ratio;  This ratio was then used to look up the standard market default risk premium, see appendix B for the used table. It was assumed in selected the appropriate table that all firms in the data set were rather small and risky, to avoid under estimating the credit default position of the firm. 4.3 Hypothesis formulation From the aforementioned theories and interpretations of the relevant literature we can formulate the following hypotheses; H1; Operating performance is correlated to stock performance This first hypothesis is inferred from the fact that stock performance is based on expectations that investors and analysists infer from information about the operating performance of the firm. From the released information, players on the (stock) market devise buy/sell and hold-strategies that determine prices. To investigate this claim we focus our attention to the following measures of operating performance; EVA, EVA divided by EBIT, ROIC, the economic spread, EBITDA. We calculate the correlation of these measures to the following measures of stock performance; MVA, MVA divided by EBIT, SVA, TRS, MICAP H2; Perceptions are correlated to operating performance The second hypothesis takes the stance that the above mentioned measures of operating performance are correlated to factors of perception. Thus saying that the information revealed by firms has a significant impact on how people feel about a firm and thus become aware of reality that surrounds those firms in a negative or a positive way. In the same manner it thus states that the interpretation of information derived from newspapers reflect a sentiment that should be grounded on the reported operating performance. When these perceptions are turned into action stock price changes occur, as we construct expectations and beliefs from our perception of relevant information. From this we infer the third hypothesis; H3; Perceptions are correlated to stock performance. As such we state that perceptions which are the fundaments for expectations (which drive prices) should thus be correlated to the above mentioned measures of stock performance. Perceptions are constitutive for expectations, beliefs and thus actions which drive stock trades and determine prices and returns. Next we will discuss the results of our investigation into the hypotheses and discuss some additional findings. Chapter 5 Results Along the lines of Professor Hayek, we have stated that are the aggregation of perceptions on the financial market and that these perceptions shape the (information) discovery process. From this it follows that we investigate how operational and (stock) market performance correlate to constructed factors of perception. First presented are the descriptive statistics of the variables used in the research. With respect to the operating performance we find the following averages, depicted in the table below.  What is noteworthy from this is that with respect to the economic value added there is a large standard deviation. The seven firms that were selected vastly differ from each other in terms of operational value creation. With respect to the (stock) market performance of the sample firms we find the following averages, depicted in the table below.  Again we find a rather high standard deviation with respect to the value creation on the market (MVA), which indicates there is a significant spread in the value creation (ability) of the sample firms. Both these findings give additional power to the research as very different firms have been selected, which exhibit different characteristics With respect to the constructed factors of perception, we have found the following sample averages. Perception averages1st DimensionCategoriesMean 2,31500,9872Median 2,78571,0000Maximum 10,42862,2857Minimum -5,57140,0000Std. Dev. 2,87750,7302 We can see from the table above that on average the perception of the firms in the sample is on the positive side, however consider the large spread between minimum and maximum. A value of -5,5 implies that the information the firm in question, makes public is on average perceived negatively. Whereas the opposite would go for the firm with a perception value (in the first dimension) of 10,4. With respect to the second factor, we see the distribution of the firms and how we place them in too categories of perception, denoted as; negative(0) slightly positive(1), positive(2) and extremely positive (3). As such the selected firm exhibit a slightly positive perception of their information and as we will attempt to show their performance. Operating performance and market performance With respect to the first hypothesis we calculated the correlation between the aforementioned measures of operating performance and market performance and produce the following average results.  The table displayed above shows that the various measures of operating performance and market performance are strongly correlated, with the highest correlations for the return on invested capital and market value divided by invested capital. This is probably due to the fact that the return on invested capital is an important factor in investment decisions and in the sustainability of current value creation over time. As the return on invested capital tends to be higher it is likely that the market will perceive this as a positive sign and the firm will generate a high market value creation on the basis of its potential positive future operational value creation possibilities. Effectively the firm is judged by the value it creates relatively to its invested capital, which is the source of the economic value added and the realized earnings. There is thus in fact a strong correlation between operating performance and market performance. The question which remains is does our theory of perception capture this link and are the constructed factors of perception (co)related to these measures? Perception and operating performance To investigate the aforementioned claims we investigate the correlation between the constructed factors of perception (in the first dimension and in terms of categories) and measures of operating performance. We produce the following average results (again firm specific correlations can be found in the appendix).  We find that all measures of operational performance are positively correlated to the constructed factors of perception. On average the ROIC proves to be the most significant measure in relation to the concept of perception. This strengthens the belief that the return on invested capital is a measure, which we reflect on when processing information that the world pressed upon us (or in fact when we become aware of the potential value creation of a firm). With respect to the direction of the relation, we state that it is most probable that as the return on invested capital increases the perception of profits and future potential value creation becomes more positive. As people tend to classify firms in terms of profitability, a higher return on invested capital will induce a promotion (going into a higher category of perception) for that firm (the same goes for the earnings before interest and taxes [depreciation and amortization]). Even though the correlations are on average very positive another interesting note it that the correlations for the measures other than the ROIC and EBITDA are very firm specific. (See table below)  We see that the spread in terms of correlation is the lowest for the ROIC and EBITDA, but within the sample firms there is quite a bit of variety. This in fact strengthens the conclusion that even though perception is highly firm specific operational performance is correlated to how we become aware of the firms value creation, through the ROIC and EBITDA as common denominators. We thus show that the measures of operational performance correlate with the process by which we become aware of the operating performance of a firm on the basis of how we judge the return on invested capital and infer on the earnings. We thus find no rejection for our second hypothesis Perception and market performance How does our perception than relates to the market on which we take action after having perceived information pertaining to the operational performance realm? With respect to the third hypothesis we then calculate the correlation of market performance measures to the constructed factors of perceptions, the average results are displayed in the table below (again firm specific correlations can be found in the appendix).  These results display two interesting issues, we note the following; On average all correlations are positive (as predicted) This implied that as the perception becomes more positive market value creation tends to increase. It is also plausible to say that the market value influences the perception of the firms ability to generate profits in the firms. We see that the shareholder value add has a significantly lower correlation with respect to factors of perception, this might be due to capital structure effects which we will discuss shortly later. The most significant correlations occur with respect to the categories of perception. This is probably due to the fact that on the market there are an infinite amount of agents who on average do not reflect on absolute perceptions. It is also known that the bandwagon effect is a dominant force on the market, as agents on the market tend to classify events in the same manner absolute inferences might be less important when one can simply infer on polls. (For example, we can just inquire into the advice (should we buy/sell or hold), without reviewing all the facts). On this notion we find no evidence to refute our hypothesis and conclude that our factors of perception are related to market performance (although the direction of the relation is unclear). When we look into the spread of the correlations with respect to the above displayed averages, we find the following;  We see that the spread in correlations is limited for the market value added (divided by EBIT) and the market value divided by the invested capital. This shows that even though there are firm specific factors at work there are common denominators, market value added and market value divided by the invested capital which significantly relate to how we become aware of the value creation of the firm either in terms of operational performance or market performance. As such we find no evidence to refute our hypothesis and conclude that perception is in fact linked to market performance and that how we perceive the information from our realm of focus determine how we act and classify events on the market. Additional observations Table 12, 13 and 14 in the appendix, show the firm specific results, with respect to the above mentioned hypotheses. We find that the absolute perception is always positively correlated to these measures, with the strongest correlation for the return on invested capital. Additionally we show that there are significant differences between the various constructed categories of perception (see graph below).  Figure  SEQ Figuur \* ARABIC 3; Difference in categories of perception However there are other striking results in this table; The correlation of the ROIC to the negative perception category is on average negative, which seems to imply that investment is not credible in periods that the perception is negative, which again seems to support that firm in a negative period seem to have difficulty to acquire funding on the financial markets. The most important thing is that influences the perception in the negative category is the investment rate. Which implies that a firm should invest without increasing capital cost, and only increasing its NOPLAT. To positively influence the markets perception firms should thus invest from their own resources, and show how they bind themselves to the shareholders interest, without increasing capital costs. After the firm migrates into the first positive category it can focus on its ROIC, its operational profitability and growth, be funded with debt as this shows the dedication of management to bind them to the shareholder value maximization. As we all classify firms in the same manner, we thus focus on the same variables, the most important factors in this classification is the ROIC, as this stimulates the perception migration progress and eventually stimulates growth. We find no evidence to reject our hypothesis and state that perception is positively influenced by operational profitability, even though the correlation of the economic spread is highly firm specific, especially within the different categories. Let us turn to the hypothesis about the market value creation, which states that investors who formulate their expectations and beliefs of the value creation of the firm do this by perceiving and interpreting information from the environment, which implies that factors of perception are positively correlated to measures of value creation, and that there will be differences between categories of perception We therefore look at the correlation of factors of perception to, MVA, EVA, TRS, market value to invested capital, and shareholder value added (table 13). We find on average positive correlations for all factors of perceptions. We find that the correlation of measures of value creation with perception in times of negative perception is also negative. This would imply, even though in times of negative perception, increase in perception does not mean higher value creation, or that the value creation of firms in the negative category is not credible and in fact lowers the perception. We again find the diminishing effect, implying that as perception becomes more positive the correlation to measures of value creation drop, however they remain positive. We find that in times of a negative perception the shareholder value added is positively correlated, whereas all other measures of value creation are negatively correlated, (even though this is firm specific and rather weak). This seems to imply that even though the perception of a firms ability to create is negative, they try to add shareholder value, which increases the perception of the firms profit. As NOPLAT is increased and investment costs are lowered, in combination with the SVAs positive correlation to factors of perception this seems to be the way by which the firm shows its dedication to its shareholders and in combination with the negative correlations we found with the capital structure determinants the drop in perception can be mittigated by producing (and investing) more efficiently. Note that we have to be careful in the interpretation of the correlations as it is at this point unclear which way the correlation works. As value creation can depend on perception (because investors can influence the cost of capital of firms), but it can also be the other way around (as firms can influence the market perception, using appropriate public relations strategies). We thus have found evidence to reject any of the null-hypotheses and have found evidence to support our claim that investors perception is shaped by the firms ability to create value and that there are significant differences between the categories. What is striking is that throughout the results categories of perception has a strong influence, which seems to indicate that people classify the information pressed upon them. Additional research In this additional research section we look at if the factors of perception add information to the random walk model and the CAPM. The random walk model often seems to outperform other models with respect to investment selection and the CAPM is often used to determine capital costs, as such perception should be a valuable factor when incorporated in these models. We start with the random walk model. Random walk model  On a monthly basis we find that factors of annual perception indeed add value compared to the normal random walk model. Even though the increase of explanatory power is not significant, there are vast differences between categories of perception and their influence of the path future prices will take. The average explanatory value, after correction of multiple factors in the model remains 94,5%. On an annual basis we find that factors of perception also add significant value to the normal random walk model, increasing its explanatory value from an average of 32,5% to 40,1%. Also significant differences are observed between categories of perception and their influence on the path future prices will take. (see table 1 in the appendix) Thus given the notion that perception is correlated with measures of performance and if we assume that prices follow a random walk, factors of perception add value to our interpretation of past prices to reflect on the future. As the random walk model uses only one factor, past prices, its residuals can be interpreted as pricing for forecast errors. We thus look at the residuals of the random walk model;  We then look at the estimated residuals and see how they correlate to the factors of perception. However on both the monthly level and on the annual level we find no significant correlation. This would mean that the value the factors of perception add to the random walk model, is not purely explanatory, but also elaborating, as this seems to indicate that perception is not incorporated in prices, since it adds value in the random walk model, which is uncorrelated to the residuals, we can thus conclude (see table 2); Future perceptions are not incorporated into past prices (it adds value to the random walk model) No pricing errors occur because of the non-pricing of perception This final issue can in fact be the case, as we are talking about a price discovery procedure and people all have their own views. Thus if prices are in fact the aggregation of perceptions, then in itself the perceptions will not be priced (beforehand), but rather the expectations and beliefs of these perceptions (after the occurrence of an event). The fact that prices can be aggregations of perceptions would thus mean that the aggregation relieves the pricing errors in the process, as perception is the source of beliefs, expectations and action (ex post). Perceptions should thus influence the trading behavior of investors if pricing errors are not to occur because of the non-pricing. Pricing errors occur because of the fact that we can not infer the general opinion ex ante, we only know that people classify the same events in the same manner, but the strength of their beliefs and determination of their action determinates the miss-pricing based on past prices. We thus find strong evidence to say that prices are the aggregation of perceptions, as perception factors add information to the random walk model, uncorrelated with the random walk errors. We also investigated for which category of perception the random walk model works best using the following regression;  We find again that the categories of perception on both the annual and monthly data level add significant amounts of information, however it is clear that the categories in which the firms stock price follows the random walk best (beta = 1) is highly firm specific and no consistent pattern can be extracted (table 3 and 4). CAPM If prices are aggregations of perceptions and perceptions are related to measures of performance, then the realized returns are the changes on which economist reflect and formulate their beliefs and expectations. We then look at the CAPM regressions to see if factor of perception add value to the pricing model when we assume that expectations are solely based on the perceived market risk. We run the following models against the standard CAPM approach (table 5 and 6);  We find that categories of perception reveal a significant difference in perceived market risk per category. Both on the annual and monthly level categories of perception seem to have a significant determination role for excess returns. Even though the explanatory power of the regression is highly firm specific, it is still clear that perception factors are an improvement when incorporated into the CAPM.  From the second regression we find a dual layer, on the annual level it seems that categories of perception are more influential for returns than on a monthly level (which seems to support the assumption that perceptions change only annually). Again the explanatory value of the regressions is highly firm specific and no definite conclusions can be drawn (table 7 and 8). However, because of the significance levels of (especially) the first regression, indicating differences in perceived systematic risk on the basis of perception, we can thus state that factors of perception are indeed valuable to be incorporated into an asset pricing model such as the CAPM. To strengthen this conclusion we look at the correlation of factors of perception to other determinants of returns, such as the market capitalization, MB and PE-ratio and the DER (table 9 and 10). The results are highly consistent both on the annual level as on the monthly level. We find very strong positive correlations for all described determinants of returns with the following exception; We find that in the negative category of perception, a higher perception still implies a lower value of the determinant, from which we can conclude that returns for firms in that negative category will also be lower. Also we find that the increase in the correlation coefficient will be large when a firm goes from the negative category to the first positive category, implying its return will increase, which is consistent with theory. Additionally the increase of the correlation then drops when a firm is to migrate into a higher category again, implying diminishing returns depending on perception. These finding significantly strengthens our faith in the rejection of the null hypothesis and our claim that factors of perception are valuable when incorporated into factor models and used to forecast and explain returns. We then look at how perception is correlate to determinants of the capital structure. We have stated before that investors base judge the firms against their expectations and reward or punish them by adjusting their required rates of returns. To investigate this we look at the correlation of perception factors to the weighted cost of capital and its determinants (table 11). We find that the correlation is highly positive and significant. We find that the perception in the negative category is inversely correlated to the cost of capital and its determinants. Which seems to imply, as the costs or leverage increases for those firms the perception will drop (implying a negative perception). Indicating that the market does not feel the firm is credible enough to deliver on its targets. However as we will see later this can be mitigated by an increase in NOPLAT and reducing investment cost, as there is positive correlation to SVA in the negative category. The positive correlations seems to imply that investors feel that higher capital costs, signal that firms need the capital to earn a greater return. Thus when perception is positive, firms have the credibility to acquire fund on the financial markets. However we also find that this correlation drops as perception becomes more positive, implying diminishing credibility, implying as perception becomes more positive, investors also become more skeptic. Chapter 6 Conclusion & critical remarks We conclude this thesis a short over view and some critical remarks. In chapter 1 we have stated that perception is how we come to understand the world and how we come to interpret the information the realities we focus on press upon us. Even more so we state that perception is constitutive for our feelings, expectations, beliefs and action. In chapter 2 we have seen that firms exist for the sole reason of creating value. How this value is perceived and how credible a firm is perceived to be in its process of value creation shapes how much value can indeed be created in the future. By linking the description of perception to the process of value creation we set out to introduce factors of perception, that correlate to operational and market performance. Additionally we introduced these factors into asset pricing models Using qualitative methodologies, we have found that perception is indeed correlated to operational and market performance, which themselves have been found to correlate. We have shown that perception, or the way in which we become aware of realities, shape how we think about value creation as its correlation differs (significantly) between categories. Supporting what Hayek already said, that we tend to classify that what we perceive. We have found those positive correlation and that they tend to have a diminishing property, as when perception becomes more positive, the correlation to measures of value creation and the determinants of the capital structure drop. We determine the ROIC and the earnings along with the market value to invested capital to be the most important determinants of perception. This means that those factors are most important when we reflect on the world of value creation. To summarize; Operational performance and market performance are strongly correlated How we become aware of events that occur with respect to value creation is strongly correlated to measures of value creation (both operational and on the market) All correlations are positive, except for the negative category of perception We have also stated that factors of perception are valuable when incorporated in the random walk model and the CAPM, however the results seem to be clouded by the limited additional explanatory value, however limited, it shows that there exists a correlation between perception and prices (returns). Illustrated by the fact that factors of perceptions provide value to the asset pricing models, without being correlated to the residuals of the random walk regression, and are significantly correlated to determinants of returns. The positive correlation found (except for the negative category of perception), leads to the conclusion that higher value creation has a high probability of generating a more positive perception, which then in turn leads to higher expectations, which will lead to changes in the capital structure. Which is consistent with the finding that perception can the determinants of the capital structure are also positively correlated. We have thus no evidence that firms with a high absolute perception are being rewarded with lower capital costs. Investors might even feel more confident to increase their required return, as the probability that the firm will deliver on these expectations might be higher when the perception is higher. Also perception seems be be strongly influenced by the operational value creation of the firm, the positive correlations of the ROIC to the factors of perception seems to indicate that firms are classified according to their ROIC, striking is however that only in times of negative perception the ROIC is not important to investors, as increasing the ROIC often increases capital costs which also is negatively correlated to perception. We find that firms in negative category should focus on the adding of shareholder value, by limiting capital costs and increasing NOPLAT, thus working more efficiently and investing wisely. We can then conclude that perception is not only valuable to incorporate in economics, but it can also grant substantial information about firm- and investor behavior. Even though the results are very positive, some words of caution and critical notes are appropriate. It is difficult to correctly interpret the correlations which have been estimated, as correlations show no insight in which way the actual relation goes, or whether there is a cointergration-relation present. Secondly it has to be clear what there are severe limitations to the scope of this thesis. As only seven firms were investigated and very limited search parameters were used. Also the fact that only the perception with regard to corporate profit was used puts a severe limitation on the data acquired. As such there will be many more critical notes with respect to the results. But it should also be clear from this thesis that further research is required to get a good picture of how the proposed correlations pan out when transformed into relations. As there exists no literature, which incorporates perception in such a fundamental manner into economic, not only is further research required, but also warranted as perception and analyzing perception could, in my opinion, explain economic phenomena, such as EMH-anomalies, or waves of investment. Perception might be the key to understanding that which we do not directly perceive. For future research we can make the following suggestions; Investigate industry perception Investigate perception within factor models Investigate perception in relation to EMH-anomalies and investment cycles Broaden search parameters and include more firms Incorporating perception into economic analysis can have profound implications of investors and firms. For investors this would mean, when taking into account market perception and its dynamic that they can make more accurate decisions. 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"Aandelenrendementen Ratio en Psychologie" [2002]Van der Sar, N.L. [et al] "Financiering en Belegging deel 2" [1997] APPENDIX A Newspapers and Economic variables Correlation of the amount of newspaper publications to prices and returns From the previous chapters we can then formulate a number of hypotheses, about the relevance of newspaper publications as the relevant source from which we construct perception factors. General economic level (AEX index) and newspaper publications Paragraph VIII we can formulate three hypothesis with respect to information, prices, returns and the state of the world. As reduced information asymmetry is assumed to alleviate uncertainty, we can stipulate that that prices must rise when there is more publicly available information. This reduced information asymmetry is assumed to induce a competition effect, effectively eroding returns. From this we can stipulate that there is to be a negative correlation between publicly available information and returns. As explained in paragraph VIII, if publicly available information has value for prices and returns, it is informational for the state of the world in which investors, corporate and shareholders operate. From this we can stipulate that publicly available information has a positive correlation with respect to the inverse of the risk-free rate. H1a: There is a positive correlation between publicly available information and prices H1b: There is a negative correlation between publicly available information and returns H1c: There is a positive correlation between publicly available information and the inverse of the risk-free rate From the previous hypothesis we assume that the impact of publicly information is constant. To test this assumption we investigate the time lag of the correlation between publicly available information and prices (and returns), where we make a distinction between periods of positive and negative returns. We can then stipulate the following hypothesis; H2a: The correlation between publicly available information and prices (or returns) exhibits no time lag. Then if the correlation exhibits no time lag, we expect there to be no time lag in the correlation between publicly available information and the state of the world, measured by the pricing kernel (defined as the inverse of the risk-free rate). Again we make a distinction between periods of negative and positive returns. H2b: The correlation between publicly available information and the pricing kernel exhibits no time lag. These hypotheses are then also investigated on an annual level for firms. Results In this section we discuss the results of the research program, in which we make a division between the results with respect to general news publications and firm specific news publications. We estimate correlations with respect to the factors discussed earlier and discuss their implications. Prices, Returns and State of the World Let us first take a look how AEX-prices correspond with general newspaper publications (with respect to shareholders), using monthly data. The first null-hypothesis we seek to reject then corresponds to H1a, derived from the previous section and states: H0(1a): There is no or a negative correlation between publicly available information and prices We find a correlation of 60%***, indicating that when publications are large in their numbers higher prices will occur. Therefore we have strong evidence to reject this first null-hypothesis. This correlation however is not yet fully informative, as we assume that the impact of these newspaper publications is constant, in measuring this correlation at time t = 0. The next step is to examine whether the correlation between prices and newspaper publications exhibit a time lag, seeking evidence to reject H2a. Estimating the correlation using 51 lags (ranging -3 till 48), generates figure 4 (including significance levels).  Figure  SEQ Figuur \* ARABIC 4; Uncentered correlation (lags used on x-axis) Figure 4 shows us that we find strong evidence to reject H2a, except for lag 10 till 16. This has some important implications which we will discuss after we differentiate our results to depend on the state of the world. The state of the world is measured by a dummy to reflect periods of positive returns and periods of negative returns. We recalculate our previous result, and generate figure 5 and provide the according significance levels (figure 6).  Figure  SEQ Figuur \* ARABIC 5; Correlation differentiated depending the state of the world  Figure  SEQ Figuur \* ARABIC 6; Significance of the correlations from figure 6 We find that even when differentiating to have the correlations depend on the state of the world the time lag found earlier remains. However the range of insignificant vastly widens, especially for periods of positive returns. Interesting is also to see that the trajectory the correlation, in periods of negative and positive returns, takes is approximately the same as the undifferentiated trajectory. We thus find an initial positive correlation, which remains for a certain number of months depending on the state of the world after which a negative correlation occurs, implying that in the long-run publicly available information puts pressure on index-prices. What are then the implications of these initial results? Having rejected H0(1a) and H2a we should wonder what happens to the information which is made publicly available. Let us turn to figure 5; Lag intervalCorrelationImplicationPositive, decliningCurrent newspaper publications reflect, reasons why ,at L < 0, prices should be high. Highly corporate profitability, low interest rates, general positive economic factors contribute.PositiveA publication increase prices, to reflect the perceived alleviation of uncertainty and induces a buyers market. Inducing a competition effect, investors wish to make use of the upward prices pressure.Positive, decliningPublications have a (rapidly) diminishing informational effect. As time goes by less and less investors act on old information and less investors feel the need to adjust their perception of the economic factors inducing the price increases.Negative, decliningPublications on the general economic level are followed by new publications. New information puts old information into new light. Investors adjust their beliefs and expectations accordingly. Portfolios are adapted, other stock positions and weights will be taken based on the old information set which is adjusted to new information. A changed perception over time. Having said this, let us turn to figure 6 in which we graph the differentiated correlations. What is striking first of all is that in the two states of the world the trajectory is approximately the same, and becoming more and more the same in the long-run. However there are three more important implications in this figure.  QUOTE  ; In periods of negative returns, newspapers are more strongly correlated to observed prices than in periods of positive returns. This would imply that newspapers reflect reasons why prices where that high in the past, or why they would be at that level. At L(0) however, this correlation drops significantly in periods of negative returns - . This would seem to imply that there is a certain amount of uncertainty surrounding the publications at time 0 and their credibility, effectively implying lower prices. The fact is however that in periods of positive returns we see that at L(0) there is a steep increase in the correlation. This seems to imply that information becoming public at time 0 is more credible in periods of positive returns than in periods of negative returns. As investors see that in periods of negative returns they have had some bad returns, new information at t(0) they are likely to react, and their actions causing pressure on prices. In periods of positive returns, new information at t(0) seems to strengthen the feeling that positive returns are to be made and initiating an upward-price-effect. The fact that the correlation in periods of negative returns is higher than in periods of positive returns, indicate that in periods of positive returns people are generally more skeptic and that people are generally optimistic in periods of negative returns.  QUOTE  ; What we can see from figure 6 is that over the remainder of the time-series the correlation for periods of positive returns is always larger and that the correlation becomes negative earlier in periods of negative returns than in periods of positive returns. We can explain this if we turn to behavioral finance. If we know that people are generally overconfident, which means that people are overconfident in their judgments, we know that in periods in which an investor observes positive returns he will be confident that he with a certain confidence interval will make more positive returns in the future. Equally if an investor observes negative returns, he will react to this due to (assumed) loss-aversion . Thus, as new information becomes available, in periods of positive returns this new information will only slowly be incorporated in the old information set, as the investor is so confident that he is right that there will be more periods of positive returns to follow. This might be the case if the information is positive, but if it is negative, he will have to adjust his expectations and beliefs in the future. Equally in periods of negative returns, the investor has observed the negative returns and new information, will cause him due to the immanent loss-aversion - to more quickly adjust his beliefs and expectations to the new information becoming public. Explaining thus, why in periods of negative returns the correlation of always lower than in periods of positive returns. When we see that in periods of negative returns the correlation becomes negative earlier than in periods of positive returns we know that this is related to the overconfidence discussed above. However the behavioral factor of belief perseverance also attributes a great deal. This implies that when investors (in periods of positive returns) have formed an opinion based on an information set they tend to cling to this information to tightly and for to long. Also in periods of negative returns, the negative correlation remains more negative than in periods of positive returns, indicating that in that state of the world believe perseverance also plays a factor, as one would expect that in the long-run the correlation (of both positive and negative periods of returns) would convert to zero. Then let us turn to figure 7, in which the significance levels of the correlations are graphed. What is immediately striking is the fact that in periods of negative returns the correlation becomes non-significant earlier than in periods of positive returns. This would seem to imply that in periods of negative returns the loss-aversion outweighs the overconfidence bias and the investors tendency to persevere his beliefs. A second striking issue graphed, is the fact that in periods of negative returns the negative correlation becomes more significant earlier than in periods of negative returns. This would seem to imply that investors update their beliefs and expectations earlier than in periods of positive returns. Also the area in which the correlations are non-significant is vastly larger during periods of positive returns. Implying that it takes investors more time in periods of positive returns to adjust their information sets and update their beliefs and expectations. We should also note that having said all of the aforementioned, there is no actual evidence of which bias or behavioral factor dominates and that we cannot rule out the bias of availability. Box Availability Bias We have seen from figure 5 and 6 that the correlation has is a diminishing correlation, with periods of significance and periods of non-significance. It is possible that this diminishing trajectory is caused by the availability bias. This is, when judging the probability of an event, people search their memories for relevant information. It is very well possible that event that occur at t(0), even though they are linked to information of t(-10), people wouldnt even be able to fully retrieve a memory of this information. In interpreting our findings we have to make sure to keep this in mind; Not all memories [or previous sets of information] are equally retrievable or available (Kahneman and Tversky,1974) Let us then turn to the next set of hypotheses that were tested. Now we look at how newspaper publications correlate with returns, focusing on the following null-hypothesis; H0(1b): There is no correlation between publications and returns When calculating the initial correlation, we use a centered method, to reflect the fact that over time on average returns are to be zero and converge to unity. We find an initial correlation of -25%***. Indicating that as there are more publications, in a certain period, the returns will be significantly lower. Thus finding strong evidence to reject the null-hypothesis, however again this correlation is not fully informative due to the fact that we assume a constant impact of the information. We again investigate the time lag off the correlation again testing H2a , and construct figure 8 and plot the appropriate p-values in figure 9.  Figure  SEQ Figuur \* ARABIC 7;Centered correlation (lags used on x-axis)  Figure  SEQ Figuur \* ARABIC 8; p-Value's of the correlations from figure 8 We find that there is a time lag in the correlation between returns and newspaper publications, however this time lag is not as significant as we observed in the correlation between prices and newspaper publications. Before we discuss the implications of these result we again investigate the difference between periods of negative returns and positive returns and plot figure 10.  Figure  SEQ Figuur \* ARABIC 9; Correlation of publications and returns differentiated dependent on the state of the world What we learn from figure 10 is that when the type of period is known before hand, thus when investors are aware of the state of the world, the significance of the time lag disappears. Only the initial correlation remains highly significant and over time the p-values of the correlation are immensely volatile, providing information that the even if there is a time lag present this will not be significant. Also we note that the difference in correlation at t(0) between periods of negative returns and periods of positive returns is very large. Then what are the implications of these results? The implications here are fourfold; let us first turn to figure 8; PeriodCorrelationImplicationNegative, decliningThe fact that the correlation between newspapers and (past) returns is negative and declining implies that there is a competitive effect. Newspapers are implied to reflect reasons of past profitability, inducing a competition effect which reduces the returns to be obtained, as more investors find the same stock or index profitable enough. Negative, decliningThis implies that the competition effect induced by the alleviation of the information asymmetry between investors and corporates within the index lasts for approximately 8 months. As more and more investors act on the information from t(0) returns gradually drop, until new information is provided and investors again adjust their mind set.Negative, increasingThis implies that over time, as new information becomes public old information is put into new light and the correlation with returns becomes less negative (thus, less strong), showing that the informational competitive effect diminishes over time. PositiveThis implies, even though the correlations beyond lag 26 are not significant, that as new information is added to the mindset of investors old information thus can have a positive effect on the perception of new information.Then let us turn to the differentiated correlations from figure 10. We can be very brief about the implications from these results. If investors know what kind of period they are experiencing, we see that the significant time lag from figure 8 completely disappears. Implying that the state of the world significantly influences how investors react to information. In periods of positive returns we find a correlation of 43%*** and in periods of negative returns we find a correlation of -65%***, again illustrating the latter point that there is a huge difference between the reactions of investors in periods of negative returns and investors in positive return periods. We can explain the significant positive correlation (in periods of positive returns) by noticing that when a positive period occurs, and the investor has knowledge of this, he will assume due to his optimism, overconfidence and belief perseverance that returns will continue to be high, inducing a run on stocks creating price surges which lead to immense returns for the original stockholders. In periods of negative returns however, the investor is more likely to be skeptic about the economic recovery that might be at hand, and more information might induce the investor to only have his belief in his own skepticism strengthened, inducing a significant drop in returns as investors tend to sell index stock in times of negative returns as there are more profitable investment opportunities. Then let us now turn to the final set of hypotheses to be tested, with the null-hypothesis; H0(1c): There is no correlation between publicly available information and the inverse of the risk-free rate The inverse of the risk-free rate is denoted as the pricing kernel, which we identified as a variable which reflects the state of the world. We find an initial correlation of 44%***, which is highly significant, indicating that the amount of newspaper publications is highly reflective of the state of the world. However again, this correlation is not completely informative and we again investigate the time lag, corresponding with hypothesis H2b, displayed in figure 11.  Figure  SEQ Figuur \* ARABIC 10; Correlation of newspaper publications with the pricing kernel Figure 11 shows that there is a significant time lag in the correlation between the pricing kernel and the amount of publications. We thus find strong evidence to reject both the null-hypothesis and hypothesis H2b. Figure 11 also shows that on the medium-term publications tend to reflect less and less of the economic prospects however, the correlation in the long run significantly increases. Again we look at the difference between periods of positive returns and periods of negative returns, displayed in figure 12 and provide the appropriate p-values;  Figure  SEQ Figuur \* ARABIC 11; Correlation of the pricing kernel with newspaper publications, dependent on the state of the world  Figure  SEQ Figuur \* ARABIC 12; p-Values of the correlation of the pricing kernel with newspaper publications, dependent on the state of the world The implications of the results from figure 11 are then threefold; PeriodCorrelationImplicationPositiveNewspaper publications are implied to strongly reflect the past and its events. The state of the world is implied to worsen as publications increase. Indicating that the past was also a worsened state of the world as current publications are higher.Positive, decliningThis implies that on the medium term the newspaper publications have less explanatory value for the state of the world than that they reflect past states of the world.Positive, increasingThis implies that on the long run newspaper publication strongly reflect future states of the world.Then let us turn to figure 12 and 13 and discuss those implications. When we separate the correlations for the state of the world we find initial correlations of 20%*** and 25%***, for respectively periods of positive and negative returns. The time lag however does not disappear, as we saw earlier, in this case it only weakens. PeriodCorrelationImplicationPositive, significantIn periods of negative returns newspapers reflect less of the state of the world than in periods of positive returns. This is probably due to the belief perseverance effect and optimism which causes also the media to slowly adjust to the new state of the world. This however changes at t(0), when the initial correlation of periods of negative returns becomes larger. Short-termPositive, significant (only for periods of negative returns)This implies that in periods of negative returns, in the short run, news papers reflect future states of the world, better (p-values) and stronger than in periods of positive returns.Medium-termPositive, significant (only for periods of positive returns)This implies that the media does not focus on the medium-term in periods of negative returns. Also reflecting that in periods of positive returns due to optimism and overconfidence effect, the media focus on the continuing generation of positive returns in the medium term.Long-termPositive, significant (only for periods of negative returns)This implies that the media is either extremely shortsighted or focused on the long-run, as in periods of negative returns, in the short-run there is a strong reflection of the state of the world, which then only again occurs in the long run. The media thus focuses on short-run events and long-run probabilities. With respect to periods of positive returns, it is implies that there is only a partial significance to the influence, strengthening that the media is shortsighted in their scope.  So where do these findings leave us, what can we conclude before we continue to investigate the correlations of firm specific items and newspaper publications? We can conclude the following from the aforementioned; If newspapers strongly reflect the state of the world and we know that this significantly influence the actions taken by investors (e.g. influencing their perception); Then we can state prices and returns are also significantly influenced by the information published. If this is then true, we can infer based on the results that the time lag observed is a natural psychological / behavioral phenomenon. The perception and interpretation of information is an ongoing dynamic in relation to time and adjustment of the initial information set. Equivalently, this dynamic process of perception and interpretation shapes prices, returns and possible even the state of the world itself. Again equivalently, it is important to investigate how these correlations manifest themselves on a firm specific level. How can we then directly link these findings to the concept of perception? As man-kind is always inclined to have beliefs, and is likely to formulate expectations based on the information the world presses upon them, it will likely be correlated with the effects of their actions, as we have shown here. Perception is shaped by the entry of new information, changing the inclination to belief certain states of the world and changing the manner in which people search for confirmation of their beliefs. With that perception becomes a time and state dependent process, we have shown that here. Let us then have a look at how the prices and returns of AEX-listed firms correlate to the general newspaper publications with respect to shareholder value. We investigate the correlations on a monthly and on an annual basis. We test the same hypothesis as before, and also investigate upon the time lag. However we do not investigate the dependency on the state of the world, as this would be varied across firms, because the index is compiled of very different stocks, each with their own characteristics. Firm prices We then thus first look how firm prices are correlated with general publications on a monthly basis. Using the same time lags as before we can plot figure 13;  Figure  SEQ Figuur \* ARABIC 13; Correlation of firm prices to news paper publications What is immediately striking is the fact that the correlation for the prices of Randstad, completely deviate from the rest of the sample. We can possibly explain this because of the fact that over time Randstad has been very sensitive to the state of the Dutch economy, whereas the other firms in the sample are less conjuncture sensitive. This idea is strengthened by the fact that the correlation of Randstad follows the exact same trajectory of the AEX-correlation to newspaper publications. Another striking feature of these results is that all other correlations stay positive, but do experience a diminishing effect. Along these lines the normal unweighted sample average was calculated and plotted against the correlations of the AEX, giving figure 15.  Figure  SEQ Figuur \* ARABIC 14; Correlation of the sample average, compared to the AEX-correlations What is striking again from this figure is that the correlations follow the approximate same trajectory, albeit on a different level. For the AEX the short-run of medium term decrease in correlation is significantly steeper than for the sample firms. This seems to imply that there is some kind of selection bias of survivor bias in the sample. However this will not further impede our results. As the outcome of our research does not depend on this. With respect to the hypothesis formulated earlier we conclude the following; Rejection of the null-hypothesis that there is a significant correlation between newspaper publications and firm prices (at least in the short run) Rejection of the hypothesis (H2a) that there is no time lag in the correlation, we could even state that for the sample firms the time lag might even be stronger, than for the AEX-index as a whole. On an annual basis, when we leave out the lag sequences, we find the following;  Figure  SEQ Figuur \* ARABIC 15; Annual correlation of firm prices with general newspaper publications We find that on an annual basis the sample firms do not on average significantly deviate from AEX-correlation, which is the case when focusing on monthly data. What is striking is that for some firms, on an annual basis the correlation is nearly perfect. Indicating that trading on the basis of information from newspapers can have significant impact. We have thus found more reason to keep working under the assumption that information which is publicly available boosts prices, due to the alleviated uncertainty. Firm returns Then we look at the correlation of firm returns with general newspaper publications with respect to shareholder value we see the following, graphed in figure 17.  Figure  SEQ Figuur \* ARABIC 16; Correlation of returns to newspaper publications Striking is that we observe the same pattern of correlations as we did with the AEX-returns, initially there is a negative correlation, which in the long-run converts in to a positive effect. As with the correlation of AEX-returns the time lag is non-significant and we find an initial negative correlation of on average -12%. When we plot the average correlation of the sample and set it next to the AEX-correlation we see the following graphed in figure 18.  Figure  SEQ Figuur \* ARABIC 17; Sample average and AEX-correlation We find that the trajectory the correlations follow are very much the same, indicating that there is no significant difference in the impact of publications on the firm- or index-level. We can thus extrapolate our findings and conclude that though there is a time lag present it is unclear whether this is significant or not, however due to the approximate similarity of the trajectory of the correlations we continue to assume that information significantly impacts returns (with respect to shareholders). When we look at an annual basis, we can graph the following correlations, displayed in figure 19. Figure  SEQ Figuur \* ARABIC 18; Annual correlation of firm returns We find that the average annual sample correlation is significantly lower than that of the AEX which would seem to indicate that index-investors react more strongly to information surges with respect to the state of the world than corporate-investors. Index-investors thus tend to adapt their belief and expectations parameter ( and  QUOTE  ) more quickly, than corporate-investors do. However, further research is needed to confirm this statement. The conclusions thus remain the same, even though the correlation of firm returns is significantly weaker than for the index, however this can explained also by the difference in adaptive abilities of the investors, but also by the fact that firm specific information, is the only relevant information for corporate-investors, especially when a particular firm is not strongly correlated to the index. We have thus shown with this appendix that newspapers can be relevant in economic research, as they are significantly correlated to observed prices and returns. APPENDIX B1 Firm specific correlations Operating Performance AHOLDPerceptionCategoryRandstadPerceptionCategoryWoltersPerceptionCategoryUnileverPerceptionCategoryEVA0,36190,1460EVA0,63080,7602EVA0,47600,7583EVA0,82960,89740,20350,61840,02080,00260,08530,00170,00020,0000EVAEBIT0,45410,2891EVAEBIT0,68840,8554EVAEBIT0,49170,8125EVAEBIT0,83960,89800,10290,31620,00930,00020,07410,00040,00020,0000EBITDA0,40370,7271EBITDA0,58620,7525EBITDA0,33790,6796EBITDA0,77320,90230,15230,00320,03520,00300,23740,00750,00120,0000ROIC0,65980,8792ROIC0,82940,9229ROIC0,31340,6784ROIC0,78400,88050,01020,00000,00050,00000,27520,00770,00090,0000MARGIN0,26090,1268MARGIN0,83310,9133MARGIN0,27380,5980MARGIN0,71810,78720,36760,66580,00040,00000,34350,02390,00380,0008AKZOPerceptionCategoryPhilipsPerceptionCategoryShellPerceptionCategoryAverages1st DimensionCategoryEVA0,30770,5140EVA-0,0348-0,1755EVA0,22340,4652EVA0,39920,48080,30640,07230,90600,54850,44270,09370,28070,1910EVAEBIT0,28940,4996EVAEBIT-0,0539-0,1954EVAEBIT0,25860,3767EVAEBIT0,42400,50510,33760,08220,85480,50330,37200,18430,25010,1552EBITDA0,40610,7189EBITDA0,68970,8486EBITDA0,26210,6608EBITDA0,49420,75570,16850,00560,00630,00010,36530,01010,13800,0042ROIC0,46490,7699ROIC0,73550,8510ROIC0,32060,7032ROIC0,58680,81220,10950,00210,00270,00010,26380,00500,09470,0021MARGIN0,20220,3992MARGIN-0,1377-0,3361MARGIN0,21610,4391MARGIN0,33810,41820,50770,17660,63870,24000,45800,11620,33140,1748 Market Performance AHOLDPerceptionCategoryRandstadPerceptionCategoryWoltersPerceptionCategoryUnileverPerceptionCategoryMVA0,66470,5301MVA0,67070,7992MVA0,72190,8625MVA0,71490,84630,00950,05120,01210,00100,00360,00010,00410,0001MVAEBIT0,72620,6541MVAEBIT0,70410,8437MVAEBIT0,64060,8587MVAEBIT0,71210,82800,00330,01120,00720,00030,01360,00010,00430,0003SVA-0,2383-0,5229SVA0,61900,7380SVA0,42670,6715SVA0,67920,65520,41190,05510,02410,00400,12810,00850,00750,0110TRS0,31580,5028TRS0,59630,6565TRS-0,06560,3625TRS0,87420,91960,27140,06690,03150,01480,82380,20270,00000,0000M/ICAP0,76940,9107M/ICAP0,82060,9326M/ICAP0,39270,7242M/ICAP0,63930,76170,00130,00000,00060,00000,16480,00340,01380,0015AKZOPerceptionCategoryPhilipsPerceptionCategoryShellPerceptionCategoryAveragesPerceptionCategoryMVA0,32350,5408MVA0,36230,5322MVA0,16590,6232MVA0,51770,67630,28100,05640,20300,05010,57090,01730,15490,0252MVAEBIT0,36500,5867MVAEBIT0,25750,4499MVAEBIT0,09610,5516MVAEBIT0,50020,68180,22010,03500,37410,10650,74380,04090,19520,0278SVA-0,2684-0,3854SVA-0,3966-0,5894SVA0,10200,1117SVA0,13190,09700,37530,19340,16030,02650,72860,70380,26230,1432TRS0,45010,7260TRS0,39880,5756TRS0,30360,6415TRS0,41050,62640,12270,00500,15790,03120,29130,01340,24270,0477M/ICAP0,42620,7438M/ICAP0,54150,7340M/ICAP0,23090,6899M/ICAP0,54580,78530,14640,00360,04550,00280,42710,00630,11420,0025 Market performance versus operational performance AHOLDEVA EVAEBIT EBITDA ROIC MARGIN RandstadEVA EVAEBIT EBITDA ROIC MARGIN MVA0,67790,70780,25170,40810,3758MVA0,90990,89420,89610,77790,75720,00770,00460,38540,14750,18550,00000,00000,00000,00110,0017MVAEBIT0,66620,76170,29920,54170,4629MVAEBIT0,81820,90840,81440,75220,72650,00930,00150,29870,04540,09560,00030,00000,00040,00190,0033SVA0,59550,5173-0,8024-0,52100,6734SVA0,99060,90990,97860,82860,81290,02460,05820,00060,05610,00830,00000,00000,00000,00030,0004TRS-0,06460,07110,56710,6697-0,0180TRS0,76440,81300,75700,60370,57510,82620,80920,03450,00880,95140,00150,00040,00170,02220,0314M/ICAP0,24270,39150,77860,94290,2773M/ICAP0,82410,87360,82310,97010,96450,40310,16630,00100,00000,33720,00030,00000,00030,00000,0000AKZOEVA EVAEBIT EBITDA ROIC MARGIN PhilipsEVA EVAEBIT EBITDA ROIC MARGIN MVA0,69220,66810,76080,72600,4333MVA-0,1734-0,25370,71860,6158-0,40870,00610,00900,00160,00330,12170,55320,38140,00380,01900,1469MVAEBIT0,64310,62770,74080,69960,3435MVAEBIT-0,3619-0,43180,64970,5305-0,54850,01310,01630,00240,00530,22920,20360,12310,01190,05100,0422SVA0,20950,2217-0,2262-0,15580,5686SVA0,81370,8287-0,8063-0,62590,92070,47220,44620,43690,59480,03380,00040,00020,00050,01670,0000TRS0,72050,71340,90860,90220,5197TRS-0,3224-0,35410,88550,8323-0,54550,00360,00420,00000,00000,05680,26100,21420,00000,00020,0436M/ICAP0,83510,81810,98200,98130,6458M/ICAP-0,4937-0,50780,93160,8352-0,66840,00020,00030,00000,00000,01260,07280,06380,00000,00020,0090WoltersEVA EVAEBIT EBITDA ROIC MARGIN UnileverEVA EVAEBIT EBITDA ROIC MARGIN MVA0,87690,87480,73030,62510,5247MVA0,88620,91390,87950,93390,86720,00000,00000,00300,01680,05410,00000,00000,00000,00000,0001MVAEBIT0,82690,91610,66830,76320,6776MVAEBIT0,84820,89510,82620,94690,89060,00030,00000,00900,00150,00780,00010,00000,00030,00000,0000SVA0,96050,89060,68250,64760,5872SVA0,81780,78750,59740,67010,72480,00000,00000,00720,01230,02730,00040,00080,02410,00870,0034TRS0,50490,51110,77010,45580,3215TRS0,85940,85680,90630,85410,75610,06560,06180,00130,10150,26240,00010,00010,00000,00010,0018M/ICAP0,65690,82170,54570,98850,9647M/ICAP0,75540,80830,74990,95690,95320,01070,00030,04350,00000,00000,00180,00050,00200,00000,0000 ShellEVA EVAEBIT EBITDA ROIC MARGIN MVA0,57720,50730,85310,87430,55640,03070,06410,00010,00000,0388MVAEBIT0,33840,23680,71250,72810,29480,23660,41510,00420,00320,3062SVA0,84270,82570,46640,46090,86440,00020,00030,09270,09720,0001TRS0,59470,48490,87840,87160,54220,02490,07890,00000,00000,0452M/ICAP0,56320,45900,88430,89680,53220,03600,09870,00000,00000,0501 APPENDIX B2 - Tables Table 1 (first displayed is the coefficient, then p-value) MonthlyDependent variable: Price(t)AholdAkzo NobelPhilips ElectronicsRandstadWolters KluwerRoyal Dutch ShellUnilever NVPrice (t-1)0,75500,97930,96470,97550,96670,96190,96240,93520,96690,94520,96120,94880,95980,96280,00000,00000,00000,01570,00000,00000,00000,00000,00000,00000,00000,00000,00000,00005!0--1,6199--2,1217--0,3702--1,2778--0,6883-0,7178-0,1818-0,0004-0,0247-0,6872-0,0306-0,0697-0,0279-0,62705!1--0,4268--0,6037--0,9551-1,1503-1,6682-0,5944-0,3907-0,0070-0,1584-0,4043-0,0788-0,0139-0,0893-0,02505!2-0,1412-1,6375--0,7391-1,6302---0,9162-0,4148-0,6636-0,0300-0,4777-0,0028---0,0113-0,23525!3-0,6843---1,4133-----0,6566---0,0001---0,0870-----0,0039--Adjusted R-squared97,43%97,63%92,94%93,07%94,59%94,50%93,65%93,94%94,04%94,13%94,59%94,58%93,63%93,61%F-test (p-value)0,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,0000ANNUALDependent variable: Price(t)AholdAkzo NobelPhilips ElectronicsRandstadWolters KluwerRoyal Dutch ShellUnilever NVPrice (t-1)0,75500,94820,59940,59810,63590,62890,42350,31140,65030,44680,45910,39550,45710,47450,00130,00000,00590,01570,00700,00150,03200,22250,00050,00020,00310,06850,05200,11985!0--21,8048--6,6153--6,3479-21,9690--8,2147--0,2474-3,2670-0,0000-0,0731-0,5096-0,0009-0,0506-0,9361-0,00365!1--4,6246--6,9675--3,7082-13,6276-17,8882-1,7963-3,2502-0,0247-0,0339-0,7333-0,0031-0,0014-0,6267-0,01075!2--1,7693-2,3646--15,2099-4,9107---15,1168-8,0232-0,4165-0,0023-0,1570-0,4524---0,0027-0,16985!3-5,8607---15,0878---------0,0001---0,1017--------Adjusted R-squared53,7%83,9%33,8%15,3%41,0%51,1%11,9%53,9%38,8%52,8%24,2%10,3%23,8%13,5%F-test (p-value)0,00400,00140,02770,27280,01480,05740,14590,02650,01800,01380,05970,30680,0617 Table 2 MonthlyFactorAholdAkzo NobelPhilips ElectronicsRandstadWolters KluwerRoyal Dutch ShellUnilever5!c0.0890000.0788670.0247160.0813330.081864-0.029057-0.0121580.26920.32780.80520.31280.30960.71880.88035!*5!0-0.137959-0.1369200.025515-0.187553-0.0847410.029218-0.0365970.08590.08830.79910.01910.29290.71730.65015!*5!1-0.043999-0.028116-0.0774280.1158860.081864-0.0376350.0363640.58550.72750.43920.14970.30960.64090.65225!*5!20.1055890.091462-0.030841-0.002113`-0.075134-0.0835520.18960.25610.75830.9791-0.35120.29975!*5!30.078873-0.074456---0.091322-0.3277-0.4570--0.2569-AnnualFactorAholdAkzo NobelPhilips ElectronicsRandstadWolters KluwerRoyal Dutch ShellUnilever5!0,674615-0,0172160,1098950,3475040,562370.344771-0.3516210,01140,95770,72080,26840,04540.24860.23875!*5!00,7253560,0824340,077470,4265230,2905850.428308-0.0351350,0050,7990,80140,16680,33550.14420.90935!*5!10,129554-0,3048270,1786660,2540460,4815670.146039-0.2280490,67310,33530,55920,42560,09570.63400.45365!*5!20,3582760,216574-0,551633-0,011183`--0.101814-0.2901500,22930,4990,05070,9725-0.74070.33625!*5!30,178149-0,373259----0,5604-0,209----5!c0,3284260,0176890,040030,2618560,3488520.111489-0.086936 Table 3 (first displayed is the correlation, then its p-value) MonthlyDependent variable: Price(t)AholdAkzo NobelPhilips ElectronicsRandstadWolters KluwerRoyal Dutch ShellUnilever NVPrice (t-1)0,7550-0,9647-0,9667-0,9624-0,9669-0,9612-0,9598-0,0000-0,0000-0,0000-0,0000-0,0000-0,0000-0,0000-Price(t-1)*5!0-0,9211-0,5189-0,9487-0,8803-0,4166-0,9427-0,9513-0,0000-0,0000-0,0000-0,0000-0,0256-0,0000-0,0000Price(t-1)*5!1-0,9854-0,5072-0,9201-0,9614-0,6367-0,9400-0,9639-0,0000-0,0000-0,0000-0,0000-0,0000-0,0000-0,0000Price(t-1)*5!2-1,0013-0,5408-0,9006-0,9384---0,9588-0,9392-0,0000-0,0000-0,0000-0,0000---0,0000-0,0000Price(t-1)*5!3-1,0221---0,9708-----0,8737---0,0000---0,0000-----0,0000--Adjusted R-squared97,4%97,6%92,9%63,9%94,6%94,6%93,7%93,9%94,0%68,4%94,6%94,6%93,6%93,6%F-test (p-value)0,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,0000 Table 4 AnnualDependent variable: Price(t)AholdAkzo NobelPhilips ElectronicsRandstadWolters KluwerRoyal Dutch ShellUnilever NVPrice (t-1)0,7550-0,5994-0,6359-0,4235-0,6503-0,4591-0,4571-0,0013-0,0059-0,0070-0,0320-0,0005-0,0031-0,0520-Price(t-1)*5!0-0,3254-0,6096-0,8053--0,1273-0,3187-0,3487-0,4752-0,0949-0,0088-0,0003-0,6569-0,0666-0,0960-0,0593Price(t-1)*5!1-0,9756-0,5881-0,7466-0,5495-0,6014-0,4484-0,4745-0,0008-0,0287-0,0021-0,0351-0,0003-0,0156-0,1198Price(t-1)*5!2-1,0433-0,8511-0,2527-0,3047---0,4346-0,3079-0,0002-0,0034-0,0653-0,7500---0,0559-0,2513Price(t-1)*5!3-1,5009---0,8789---------0,0307---0,1475--------Adjusted R-squared53,7%82,4%33,8%15,6%41,0%52,1%11,9%50,3%38,8%47,4%24,2%13,3%23,8%13,5%F-test (p-value)0,00400,00190,02770,27060,01480,05380,14590,03550,01800,02250,05970,27280,06170,2703 Table 5 MonthlyDependent variable: Return(t)AholdAkzo NobelPhilips ElectronicsRandstadWolters KluwerRoyal Dutch ShellUnilever NVrm-rf1,0222-0,9827-1,4562-1,2572-0,5657-0,5603-0,5254-0,0000-0,0000-0,0000-0,0003-0,0001-0,0000-0,0000-(rm-rf)*5!0-1,3517-0,7932-1,4104-1,5545-0,6356-0,55908-0,5729-0,0000-0,0000-0,0000-0,0000-0,0000-0,0000-0,0000(rm-rf)*5!1-0,9192-1,0309-1,5596-1,0632-0,3970-0,541306-0,5226-0,0000-0,0000-0,0000-0,0000-0,0320-0,0000-0,0000(rm-rf)*5!2-0,8635-1,0195-1,2330-0,5732---0,588124-0,4785-0,0000-0,0000-0,0000-0,0708---0,0041-0,0000(rm-rf)*5!3-0,8612---1,5096-----0,687747---0,0000---0,0000-----0,0093--Adjusted R-squared27,8%27,8%50,5%45,2%54,0%53,2%31,3%33,4%16,2%15,3%27,0%25,7%21,4%20,4%F-test (p-value)0,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,0000 Table 6 AnnualDependent variable: Return(t)AholdAkzo NobelPhilips ElectronicsRandstadWolters KluwerRoyal Dutch ShellUnilever NVrm-rf1,1185-0,9383-1,1320-1,1029-0,8042-0,6842-0,4927-0,0036-0,0000-0,0000-0,0003-0,0000-0,0001-0,0155-(rm-rf)*5!0-1,2969-0,8105-0,7570-0,8545-0,8010-0,6864-0,4881-0,0000-0,0005-0,0021-0,1811-0,0001-0,0005-0,0075(rm-rf)*5!1-0,5753-0,9443-1,2678-0,0725-0,8126-0,6613-0,5206-0,0055-0,0001-0,0004-0,9670-0,0007-0,0050-0,0313(rm-rf)*5!2-0,5630-1,1763-0,3206-0,1175---0,6509-0,9351-0,0088-0,0003-0,4129-0,8846---0,0073-0,0081(rm-rf)*5!3-0,1246---0,9234-----0,7292---0,5540---0,0010-----0,0008--Adjusted R-squared62,4%84,1%71,3%74,6%51,3%58,4%19,7%11,9%46,8%41,4%53,0%35,9%23,9%13,8%F-test (p-value)0,00080,00060,00020,00260,00350,02300,07270,27030,00600,02770,00290,10980,05130,2477 Table 7 MonthlyDependent variable: Return(t)AholdAkzo NobelPhilips ElectronicsRandstadWolters KluwerRoyal Dutch ShellUnilever NVrm-rf1,02220,99390,98270,97061,45621,45551,25721,22840,56570,56590,56030,56040,52540,53230,00000,00000,00000,00000,00000,00000,00030,00000,00010,00010,00000,00000,00000,00005!c--0,0076-0,0093--0,0012-0,0158--0,0007-0,0001--0,0088-0,3952-0,2701-0,8820-0,2921-0,9435-0,9739-0,0000Adjusted R-squared27,8%26,7%50,5%50,5%54,0%53,6%31,3%31,4%16,2%15,7%27,0%26,5%21,4%21,2%F-test (p-value)0,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,00000,0000 Table 8 AnnualDependent variable: Return(t)AholdAkzo NobelPhilips ElectronicsRandstadWolters KluwerRoyal Dutch ShellUnilever NVrm-rf1,11850,97680,93830,94371,13201,13211,10290,73900,80420,81410,68420,68980,49270,55270,00360,00100,00000,00010,00000,00000,00030,01260,00000,00000,00010,00010,01550,01565!c-0,0105--0,0064-0,0000-0,0225--0,0037-0,0006--0,0088-0,0671-0,0480-0,9998-0,1006-0,6121-0,7733-0,1270Adjusted R-squared62,4%67,2%71,3%75,2%51,3%46,5%19,7%21,7%46,8%42,3%53,0%48,4%23,9%20,6%F-test (p-value)0,00080,00150,00020,00080,00350,01770,07270,11820,00600,02570,00290,01470,05130,1265 Table 9 FactorAHOLDAKZO NobelAveragesMMBPEMMBPEMMBPE5!c0,75270,83500,39980,09480,11160,18310,66550,66360,49990,00000,00000,00000,26030,18450,02865!00,32840,30500,03420,06720,29130,26560,37190,44640,39370,00010,00030,69380,42530,00040,00135!10,61710,46120,50200,0166-0,2935-0,37780,62990,49940,39790,00000,00000,00000,84360,00040,00005!20,57300,69750,15310,23720,50350,34730,30880,42690,28080,00000,00000,07620,00430,00000,00005!30,10360,25530,0661---0,25300,32740,14950,23180,00280,4465---Philips ElectronicsRandstadWolters KluwerMMBPEMMBPEMMBPE5!c0,76650,77570,63580,73070,57300,81650,78350,85310,68670,00000,00000,00000,00000,00000,00000,00000,00000,00005!00,38790,46000,35330,29980,60690,33460,62470,50450,68150,00000,00000,00000,00030,00000,00000,00000,00000,00005!10,59930,57490,45870,85630,57850,79260,78350,85310,68670,00000,00000,00000,00000,00000,00000,00000,00000,00005!20,20980,34460,52540,16710,22690,3559---0,01390,00000,00000,04530,00620,0000---5!30,52600,52330,3463------0,00000,00000,0000------ Table 9 (continued) Royal Dutch ShellUnileverMMBPEMMBPE5!c0,63890,66080,10970,89140,83630,66800,00000,00000,19070,00000,00000,00005!00,59700,64690,46620,29860,31010,62050,00000,00000,00000,00030,00020,00005!10,64960,55630,06870,88690,76530,65470,00000,00000,41320,00000,00000,00005!20,40120,43510,08880,26440,35420,21400,00000,00000,28970,00140,00000,01005!30,12950,20350,0362---0,12180,01440,6669--- Table 10 FactorAHOLDAKZO NobelAveragesMMBPEDERMMBPEDERMMBPEDER5!0,51590,62240,42670,44260,42910,34550,44690,20620,43860,49130,49760,30800,05900,01740,12810,11300,14350,24750,12580,49925!*5!0-0,3373-0,2996-0,0413-0,4940-0,4707-0,5054-0,4999-0,6400-0,4043-0,3821-0,3131-0,53230,23820,29800,88860,07260,10450,07810,08190,01855!*5!10,66150,51450,64470,50140,68110,67850,62670,63680,56720,60770,69000,46420,01000,05980,01280,06780,01040,01080,02190,01935!*5!20,56710,70840,18430,56630,30300,21240,37690,12180,35150,39900,28390,33010,03440,00460,52810,03480,31430,48600,20430,69185!*5!30,10840,26310,08080,2388----0,16720,32250,24220,32470,71220,36350,78360,4109----5!c0,75500,84830,45510,78350,71170,62200,73760,53000,64600,74090,71200,58590,00180,00010,10200,00090,00640,02320,00400,0625Philips ElectronicsRandstadWolters KluwerMMBPEDERMMBPEDERMMBPEDER5!0,53690,62330,60310,47560,66380,42620,5669-0,09130,40740,54550,52270,28620,04780,01720,02240,08560,01340,14640,04340,76660,14820,04370,05520,32125!*5!0-0,4496-0,4641-0,4134-0,4855-0,2868-0,2924-0,1695-0,6149-0,4047-0,2904-0,3284-0,52840,10670,09460,14180,07840,34210,33240,57980,02530,15120,31380,25170,05215!*5!10,45350,53030,57450,38700,78170,55150,78810,17850,73040,82200,81870,66450,10340,05110,03160,17170,00160,05070,00140,55950,00300,00030,00030,00955!*5!20,55000,42080,27300,42440,38410,25340,18880,0000----0,04160,13410,34510,13040,19500,40350,53681,0000----5!*5!30,35300,50180,51430,3859--------0,21570,06750,05990,1729--------5!c0,70060,79480,74190,66100,82250,57010,72510,12850,73020,87050,80900,61730,00530,00070,00240,01010,00060,04190,00500,67560,00300,00010,00050,0187 Table 10 (continued) Royal Dutch ShellUnileverMMBPEDERMMBPEDER5!-0,02300,16410,15220,29230,54010,71180,76490,54420,93770,57500,60340,31050,04620,00430,00140,04425!*5!0-0,2056-0,4978-0,4253-0,4610-0,6751-0,3250-0,3142-0,50210,48070,07010,12950,09710,00810,25690,27390,06735!*5!10,06080,48130,58300,41330,60110,67600,79430,46790,83640,08140,02870,14190,02300,00790,00070,09165!*5!20,09700,46000,42710,48320,20750,33890,25310,38520,74140,09790,12770,08000,47660,23590,38260,17395!*5!30,04010,20280,13140,3493----0,89160,48690,65430,2210----5!c0,11980,64650,62410,68170,68210,83410,89090,69960,68330,01250,01710,00730,00720,00020,00000,0054 Table 11 FactorAHOLDAKZO NobelAveragesWACCReRdEVDVWACCReRdEVDVWACCReRdEVDV5!0,59240,62990,59370,57050,62600,50930,48350,50140,27700,54190,55150,54160,53230,40330,56710,02560,01580,02520,03310,01660,07550,09420,08090,35960,05585!*5!0-0,2887-0,2692-0,2844-0,3545-0,1515-0,4683-0,4946-0,4711-0,6160-0,4233-0,3900-0,4017-0,4182-0,4847-0,30000,31690,35200,32440,21360,60510,10650,08580,10420,02500,14955!*5!10,70560,71640,68610,65820,79100,54640,55320,57000,64970,51770,64410,64760,62620,58230,66310,00480,00390,00670,01050,00080,05340,04990,04200,01620,07005!*5!20,44910,46350,45940,51420,35890,49860,47240,47330,19370,53990,42730,40870,42970,33280,41270,10720,09510,09840,06000,20760,08290,10310,10230,52600,05685!*5!30,27890,30800,28470,27200,24050,37060,38180,37130,33770,33010,33430,28400,32390,34680,40755!c0,86140,88220,86580,86190,82030,82070,80240,81070,60480,84600,82360,81500,80870,68190,81740,00010,00000,00010,00010,00030,00060,00100,00080,02850,0003Philips ElectronicsRandstadWolters KluwerWACCReRdEVDVWACCReRdEVDVWACCReRdEVDV5!0,59830,60090,57090,50410,61620,69790,57890,60420,04910,81870,36480,38710,35340,30780,29880,02380,02310,03300,06600,01890,00800,03820,02870,87360,00060,19970,17160,21510,28440,29955!*5!0-0,4856-0,4862-0,4937-0,4924-0,4418-0,3377-0,4306-0,4551-0,6377-0,1601-0,4426-0,4320-0,4636-0,5244-0,37950,07830,07800,07280,07370,11370,25910,14190,11820,01900,60140,11300,12290,09500,05420,18095!*5!10,55640,53700,53100,42860,61360,70960,70440,63850,41740,72260,70380,72340,70340,68730,58690,03880,04770,05070,12620,01960,00660,00720,01880,15580,00530,00500,00350,00500,00660,02745!*5!20,37970,39440,38680,43870,35670,51800,39840,50230,00000,59420,18060,16290,17190,11660,21060,06980,17750,08031,00000,03225!*5!30,48730,49210,46340,39790,47900,07720,07380,09520,15890,08315!c0,78200,78660,75740,69500,78550,88740,80300,81900,29190,95130,76970,78070,75350,64980,72990,00100,00080,00170,00580,00090,00010,00090,00060,33310,00000,00130,00100,00190,01190,0030 Table 11 (continued) Royal Dutch ShellUnileverWACCReRdEVDVWACCReRdEVDV5!0,3284970,3288440,3366740,289460,2751560,7694340,781760,765790,6883330,7928650,25150,2510,23920,31550,3410,00130,0010,00140,00650,00075!*5!0-0,40902-0,40828-0,42363-0,45954-0,41367-0,29833-0,2913-0,33603-0,41285-0,130330,14650,14730,13120,09830,14150,30020,31230,24010,14230,6575!*5!10,4721150,4737240,4629020,4181870,5391280,8148280,8249570,7917480,6416770,8705810,08830,08710,09560,13670,04670,00040,00030,00070,01340,00015!*5!20,4920670,4913340,4934140,4842470,4756080,2266690,2324290,2629470,3660320,1506250,07390,07440,0730,07930,08560,43580,42390,36370,19810,60735!*5!30,3455680,3454060,3659840,3432610,2707620,22620,22640,19810,22950,34915!c0,747850,7479060,7573030,6825250,709840,8965440,9019630,8971660,8459450,8788630,00210,00210,00170,00720,00450,00000,00000,00000,00010,0000 APPENDIX C Perception and Philosophy Perception and Identity Things that are and thus exist, equivalently have an identity. Everything that is, is something and thus has a name appropriated to it, either for the ease of language or analysis. Thus the way we observe the world, the way reality presents itself to us, is the way we shape the different realities within our mind and again put outside ourselves to reflect upon as subjects or identities. From the aforementioned we can infer the following; Given the interaction between different realities, and the modifications stemming from these interactions, that what we reflect upon, is change. What we place outside ourselves is the object we study, the object we wish to reflect upon, to gain insight, to gather knowledge. It is however our intuition of this change [or modification] which is the essence of perception. Identity is the cognitive picture [including the initial feeling we have towards this picture] we place on the realities that we put outside ourselves, as objects of reflection. It should be clear that this is no vice versa relation. Given human nature with its various limitations we know that when something presents itself to us it is only likely to change our perception the moment it does not fit one of our earlier perceptions latent in our mind. Identity itself does not cause changes, only when our intuition directs realities of this identity to collide or to interact, changes are immanent and modifications appear. Identities occur however in a larger environment and are themselves shaped by that environment. The same line of reasoning holds for our intuition and initial perception. Over time we develop feelings for the world (environment) that we reflect upon and which grants us our perception. It should be clear that to fully understand the definition of perception as set forward at the beginning of this section, we have to know its relation with the environment with which our perception obviously interacts. However as we enter a larger environment as the object of study we come to an area where we have to identify how perception relates to our believes and expectations with respect to that environment. Expectations As perception is initially and intrinsically belief inducing, it could also be said that to perceive is to cognitively entertain propositions about the world or environment. It is as Runzo states: To perceive an object or state of affairs, X, is an is no more than, to be episodically aware of a set of propositions about X. [Smith, 2001 p. 287] X being the world, or our environment upon which we reflect at certain point in time. To become aware of a set of propositions intrinsically presses towards a belief, or at least an inclination to a belief is formed. How we eventually come by our beliefs, whether it is through an increasing pressure of intrinsically belief inducing propositions or the truth of a counterfactual, what matters is how we handle our perception, how do we act in light of our perception? Ergo, what expectations do we form based on our perception? Let us return to how pure action is equivalent to existence. Then consider the following line of reasoning [with the help of Ludwig Wittgensteins quote]: If I raise my arm; My arm goes up! Let us rephrase this in terms of beliefs; If I raise my arm, I belief my arm will go up Confirmation; My arm in fact goes up! A counterfactual is true; My arm does not go up and a new belief or a new inclination towards a new belief is formed within a new set of propositions. Let us rephrase this again, now in terms of expectations; If I raise my arm, I expect my arm to go up Confirmation; My arm in fact goes up, my expectation was correct or so I perceive and my belief in the working of my arm was confirmed. A counterfactual is true; My arm does not go up, my expectation was incorrect or so I perceive and my belief in the working of my arm has been contradicted. As we saw earlier, the mind, from its very constitution has a permanent intuition of pure activity, it is from that that we see a problem in the aforementioned line of reasoning. Note the sentence or so I perceive, we have to ask ourselves, how can I know that my expectation was correctly inferred from my past experiences, past (pure) activities, my past perceptions of these activities? If my expectation was incorrect however, did I incorrectly infer my expectation from my beliefs? Or were my beliefs in error, meaning, did I fail to perceive a counterfactual? In fact it does not matter where we went wrong, for the moment that we start asking these questions, they are no longer relevant in the sense that because for example through the counterfactual being true, we receive new information about the state of the world and are inclined to develop a new belief. What we should ask is whether expectations can exist without beliefs? The answer is simple and straight forward, this is not possible. Let us take a look at the following line of reasoning:   What it says is that; (I) If I raise my arm, my arm goes up. (II) I expect my arm not to go up; If I raise my arm, my arm goes up, then my expectation was wrong.  is the belief parameter which we can substitute for a expectations parameter;  QUOTE  .   Why can we simply make this substitution? Because the binding force between belief and expectation is perception. I perceive my arm going up, thus a counterfactual is true, rendering my belief and expectation invalid. Let use investigate the same thing, however, without the presence of a belief.   What this thus says; If I raise my arm, my goes up If this is true, it is completely unknown what then would be the case, we would receive no information about the current state of affairs. And if no beliefs can be substituted in for the simple reason there has to be a parameter to be substituted -, no expectations can be formulated. APPENDIX D Corporate Governance and perception Governance, Corporate Finance & Credibility  As we have seen from the previous discussion of literature, firms have to make a choice. The actual activity becomes a secondary part of life. The same can be argued for the capital structure, along the lines of figure 1, where value is created through compatible governance and asset specificity. In figure 1, we denote k as a measure of asset specificity and s as the magnitude of any safeguards (e.g. covenants and information disclosure agreements). As Williamson (2002) states, the transactions in [figure 1] that use the general purpose technology are ones for which k = 0. There is then no asset specificity involved and no complex governance structure is needed. As the asset specificity deepens (k > 0) bilaterally dependent parties have increasingly more incentives to safeguard their investment. Causing s to rise. However, if still there are no safeguards to be used (node B), rational parties within the market will obviously price out the implied or perceived risk. If s increases more contractual support is added, and we float towards node C and D. Effectively alleviating significant uncertainty and perceived risk, however, due to bureaucratic cost that accrue when a transaction is taken out of the markets, this can be seen as a the organization form of last resort (following Williamson 2002). How does this exactly relate to Corporate Finance? Well if we consider along the lines of Williamson (1988) that debt and equity are not only financial instruments, but rather different governance structures we may come a long way. As Williamson in his article of 1988, Corporate Governance and Corporate Finance states; [] the corporate finance decision to use debt or equity to support individual investment projects is closely akin to the vertical integration decision. The market, thus outside procurement (e.g. the use of debt), (node A) is preferred when asset specificity is low, as with low asset specificity only little and non-complex governance is needed. The assets which are financed with debt have a high redeployability, thus lose little value if their allocation changes, posing only little risk for the debt-provider. However; [] the costs of the market mode go up relatively as the contractual hazards increase. This implies that the cost of debt increase with asset specificity, let us denote this relation as  QUOTE  . If the market thrives, interest and the principal of a certain debt-contract will be paid on schedule, however if the market turns south, debt is unforgiving, as it entails a pre-emptive claim on the firms assets. The value of this pre-emptive claim decreases when asset specificity increases, implying that s will rise, as debt-holder will require more safeguards. The firm, which thus will face higher cost is then more likely to sacrifice some of its specialized assets in favor of as Williamson (1988) puts it greater redeployability. This would however imply a non-efficient allocation of resources and destruction of value. It is however posed by Williamson that it is equity which can preserve the value-enhancing of specific assets. On this subject Williamson states: The board of directors thus evolves as a way by which to reduce the cost of capital for projects that involve limited redeployability. Not only do the added controls to which equity has access have better assurance properties, but equity is more forgiving than debt [implying lower marginal increase of the cost of equity when asset specificity increases]. Efforts are therefore made to work things out and preserve the values of a going concern when maladaptations occur. [Williamson, 1988, p. 580] Let us denote the cost of equity as a function of asset specificity as  QUOTE   and let us form aforementioned infer the following;  QUOTE   but  QUOTE   It was the main Modigliani-Miller theorem that stated: The average cost of capital to any firm is completely independent of its capital structure and is equal to the capitalization rate of a pure equity stream of its class Ever since this revolutions there have been qualifications to this result, with the most prominent being; a) taxes and bankruptcy, b) signaling, c) resource constraints and d) bonding. The use of debt can thus be explained in a variety of manners. The use of debt signals positive prospects for the firm, whereas a firm with negative prospects that takes on debt will face a higher probability of default (e.g. bankruptcy). Also the fact of resource constraints, poses a limit to what the firm can self-finance . Issuing equity will dilute the entrepreneurs incentive and increase on the job consumption, thus using debt as the main financing instrument is preferred. However, - as Williamson (1988) states [] large debt could induce equity to take a very large ex post risks knowing that the penalties would accrue to debt holders in the event of failure []. 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This implies that when either issuing new equity or taking on new debt, the firm has to be (or appear to be) credible with respect to its proposed value creation of the investment, which is to be made. Again pressing the note that it is the decision of how and when to execute an activity is seen as the primary function . It is in the same way that management has the desire to avoid bankruptcy and avoid getting a bad reputation. Issuing debt will permit the market then to make proper inferences about the quality of the firms investment; the perceived quality is than reflected in market-valuation differences. Management as Grossman and Hart state thus effectively binds itself to act in the shareholders interest [Grossman and Hart, 1982]. APPENDIX E Credibility and Salience in the sensemaking perspective Credibility: Benford and Snow determine that the credibility of any framing is a function of three factors. (a) Frame consistency, in which the focus lies on the congruency between expressed beliefs, expectations and the following actions. (b) Empirical credibility, where the question is how do the frames reflect the events in the world? Equivalently, can the frame claims or expressed expectations be empirically be verified, within the social environment under investigation. (c) Articulator credibility, which refers to the perceived credibility of frame articulators. This is best expressed by an example; When a firm announces that in the next year their profits will rise by 50%, even though the firm never before delivered on its targets, an investor immediately doubts this 50% increase target. However if the announcement receives a positive perception, but lacks credibility the effect an announcement has on prices, returns and market value creation will be severely limited. Salience; The concept of salience refers to the frames ability and targets of mobilization. Answering the questions of; (a) how essential the beliefs, expectations and actions associated with the particular frame are for the relevant group under investigation (centrality). (b) Commensurability, which focuses on the resonance of the frames with respect to the experiences relative to the following actions. (c) Narrative fidelity, which focuses on to what extent the frames are culturally resonant, or formulated differently, to what extent do the frames reflect attitudes present in the field which is under investigation. To properly express the salience of the constructed categories and frames it is prudent that we have a proper scheme which we can use for interpreting the data and the results of our research. To establish such an approach, of linking the cultural systems (e.g. the process of thought of investors) with structural elements of economic analysis we draw on the sensmaking perspective. Along with Weick (1999) we can formulate the sensmaking perspective in the following manner; With sensemaking we mean a response to events in which people develop some sort of sense regarding what they are up against, and analyse what their own position is relative to what they sense, and infer their action which fits the perceived event In this respect it becomes clear that actors creatively (re)arrange and (re)assemble information that reality presses upon them, providing themselves with structure and guidance. Equivalently, imagine that a series of publications become available which indicate a significantly negative future for a particular firm. From this investors will quickly make sense of what they are up against, relate this to their own position (e.g. the compilation of their portfolio) and infer the proper action given, the addition to their information set.  We can state this because of the implication stemming from the Latin accusative; in which perception has a direct correlation to an act or activity, however it can also relate to an internal act or activity. [stemming from the accusative of infinity]  This section is based on; Thomas Davidon, Perception (Mind, Vol. 7, No. 28, October 1882)  A moment in which all thought and feeling latent in the mind become apparent and influence our action.  In this context consider the risk-averse nature of man  Implying a complex mental form adequate to the act of perception itself  Aristotle does this by saying that which is sensible identifies itself with the sensitive soul, and that which is beyond this world [intelligible] identifies with the intellective soul, determining the cognitive process.  Without having focused on a particular element of the environment upon which we reflect.  We saw earlier that perception is to grasp or to understand something in this world or within the scope of our reflection  We will come back to the concept of environment in a later stage.  This paragraph is largly based on A.D. Smith, Perception and Belief, (Philosophy and Phenomenological Research, March 2001). Even though there is extensive philosophical literature on the subject, only a brief account will be given.  Even though we have no a priori knowledge of these possible actions, for an interesting essay on the potentiality of action, belief and perception I suggest to read; J. Dewey, Perception and organic action, (The Journal of Philosophy, Psychology and Sientific Methods; 1912)  Note that this is a purely subjective way of stating, rephrasing; it signifies a dynamic process in which we perceive the world as it seems, bases on our sensory-impulses.  A process of reflection of what we actively focus on.  From these invariences we can than infer (potential) future changes (that what we reflect upon) and identify anomalies, as we are inclined to hold beliefs and expectations with respect to these (possible) changes.  Jointly he sees these two as constitutive for an invincible belief of the existence of external objects, however here we shall not adhere to this point of view.  There are several reasons to think of why this does not at all feel satisfactory, however it is beyond the scope of this thesis to elaborate on these issues.  On the notion of duplicated information Armstrong speaks of perception without acquiring a belief; the metaphor here is to re-press a seal on the stamped wax, which was previously stamped with the same seal, nothing new is added.  A counterfactual is that fact or hypothesis that goes contrary to all other facts [which are latent in the mind].  Over-determination occurs when a single observed effect has multiple causes.  Note that I leave room for time varying expectations; We might currently hold a belief, but form an expectation solely for a future period.  Hayek even goes further in describing that the experiences and beliefs of individuals will differ according to the pattern of neural firings that each develops.  In light of this coordination Hayek immediately refutes the plausibility of (static) equilibrium theory, as perception and the gathering of knowledge as it is limited and dispersed is a dynamic process. (Note that in the equilibrium there is no further need for coordination)  Notice the term discovery, as perception is some form of a discovery process. Making inferences about the world and becoming to grasp the meaning of events, situations pressed upon us by our environment  Also because of the short maturity an investor can protect himself from interest-rate risk, assuming investment in a fixed rate bond.  We however put only limited emphasis on the liquidity and inflationary expectations reflected by interest rates.  This conclusion stems from an analysis of a utility framework in which a pricing kernel can be derived.  What we identify here is a version of Says law, which states: Supply inherently creates demand for what is supplied.  This section is largely based on Brue, S.L. and Grant, R.R. "The History of Economic Thought" [2007] After deducting the running expenses of obtaining that output, over the life of the asset.  However if managers perceive there being a reputational risk for themselves when investments are postponed this might dominate, the shareholder value maximization objective.  This section is based on Koller, Goedhart and Wessels, Valuation, 2005  Positive NPV of investment, if not it is not deemed rational to execute the proposed investment.  We then have the cash-flow-to equity method as an approach for firm valuation  As credibility in economic literature is often described as the absolute value of the difference between the policymakers plans and the publics belief about those plans [Cukierman and Meltzer, 1986] we can immediately recognize the link with perception. When new information is perceived in a positive manner, it is likely that the public will deem the information credible.  Where Net Investment is equal to the invested capital (t+1) minus the invested capital (t).  Henceforth MVA and MICAP.  This section is largely based on Cochrane, J.H. Asset Pricing [2005] and Van der Sar, N.L. Aandelenrendementen, Ratio en Psychologie [2002]  These are all large Dutch non-financial corporation.  Investors face a set of information equal to, QUOTE  , however they do not directly act upon this set. There is an interpretative and perceptive process, as earlier outlined, which is constructive for their expectations and beliefs transforming the set of information into  QUOTE   in which  QUOTE   is the adaptive interpretative and perceptive coefficient. We thus in fact do the same, leaving the validity of our data intact.  Again for clarity, with respect to firm specific publication newspaper articles were gathered from the following newspapers: Beleggers Belangen, NRC Handelsblad, FEM Business, Dow Jones Nieuwsdienst and Het Financieel Dagblad.  Note that these search parameters severely limit the size of the dataset, however this was done because reading and interpreting all newspaper articles is highly labor-intensive. Because these search parameters were applied to the larger Dutch firms, and was applied consistently data integrity and validity is maintained.  Even though we often assume otherwise  Net investment was calculated using invested capital(t) minus invested capital (t-1)  We assume that the direction is singular, operating performance influences perception, as such perception influences market performance, even though no statistical evidence is provided. This will be subject for future research.  Note; these findings also apply to the determinants of the capital structure and the determinants of returns, which will be discussed later  Here it is implied that no significant correlation means no consistent pattern of correlations.  This means that at a certain point in time there is no mispricing because we are still unaware of certain events  As can be seen from the statistics these results are highly firm specific.  It is however unclear if this is caused by an increase of risk  Measured on an annual basis, using monthly data.  *** significant at 99% confidence interval,** significant at 95% confidence interval,* significant at 90% confidence interval  The correlations with respect to prices are uncentered correlations, as we assume the prices are not distributed across their means.  Note that there thus might be a cointergration possible of the various variables which can be constructed from the amount of newspaper publications and their perception which we will come to later -, however it is beyond the scope of this thesis to investigate this cointergration relation.  Note that all correlations were significant at alpha = 0.01, however in the period between lag 19 and 26, the correlation for Randstad was not significant.  The inclination towards a new belief would be phrased in the following manner; if I raise my arm, my arm might not go up, there might be something wrong with me; Note that an inclination towards a belief holds less degree of conviction than an actual (confirmed) belief.  As we saw before the human mind [certainly in the Aristotelian doctrine] is limited and unable to perceive everything there is; implying that we make errors and are able to miss a counterfactual being true.  These questions are however relevant when we consider man-kind to be reluctant to let go of previously held beliefs. However for the sake of simplicity we leave this discussion and turn to the fundamental question that is to be asked.  Noticed that here we assume that expectations are directly and correctly inferred from beliefs. For if there are certain beliefs, take for instance; I believe I am going home, but I do not expect to go home. How is this possible?  Concider here the relevance of the Pecking Order Theory.  Following the governance properties and characteristics of the board of directors put forward by Fama and Jensen (1980 and 1983).  Describing the process going from node A to node C, in figure 1.  This can also be interpreted as the credibility of profit sustainability. Say a firm is currently in a negative category, we can assume that increased profits or market value, has a lower or even negative correlation to perceptions than when the firm would be thriving in a more positive category.      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t*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F#  tx*6, 5 9 /  /  / /  /  / / / / 4 Fpxytn6kdC$$IfF#   =:( #&*############  tx*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F t*6, 5 9 /  /  / /  /  / / / / 4 FpxytnkdjC$$IfF   =:( #&*############ t*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F#  tx*6, 5 9 /  /  / /  /  / / / / 4 Fpxytn6kdD$$IfF#   =:( #&*############  tx*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F t*6, 5 9 /  /  / /  /  / / / / 4 FpxytnkdD$$IfF   =:( #&*############ t*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F#  tx*6, 5 9 /  /  / /  /  / / / / 4 Fpxytn6kd^ D$$IfF#   =:( #&*############  tx*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F t*6, 5 9 /  /  / /  /  / / / / 4 Fpxytnkd"D$$IfF   =:( #&*############ t*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F#  tx*6, 5 9 /  /  / /  /  / / / / 4 Fpxytn6kdD$$IfF#   =:( #&*############  tx*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F t*6, 5 9 / / / / /  / / / 4 Fpxytnkd~D$$IfF   =:( #&*############ t*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F# !!!!!!!!!!!! tx*6, 5 9 /  / / /  /  / /  / /  /  / 4 Fpxytn6kd!D$$IfF#   =:( #&*############ !!!!!!!!!!!! tx*6000044 Fapxytnn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F#  tx*6, 5 9 /  /  /  /  / / / 4 Fpxytn6kd&D$$IfF#   =:( #&*############  tx*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F# t*6, 5 9 /  /  / /  /  / / / / 4 Fpxytnkd,D$$IfF#   =:( #&*############ t*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F#  tx*6, 5 9 /  /  / /  /  / / / / 4 Fpxytn6kd(1D$$IfF#   =:( #&*############  tx*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F# t*6, 5 9 /  /  / /  /  / / / / 4 Fpxytnkd6D$$IfF#   =:( #&*############ t*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F#  tx*6, 5 9 /  /  / /  /  / / / / 4 Fpxytn6kd;D$$IfF#   =:( #&*############  tx*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F# t*6, 5 9 /  /  / /  /  / / / / 4 FpxytnkdHAD$$IfF#   =:( #&*############ t*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F#  tx*6, 5 9 /  /  / /  /  / / / / 4 Fpxytn6kdED$$IfF#   =:( #&*############  tx*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F# t*6, 5 9 /  /  / /  /  / / / / 4 FpxytnkdKD$$IfF#   =:( #&*############ t*6000044 Fapxytn$$If!v h555555555 5 5 5 #v#v#v#v#v#v#v#v#v #v #v #v :V F#  tx*6, 5 9 /  /  / /  /  / / / / 4 Fpxytn6kdD$$Ifl"N 1D!(%(+k/25""""""""""""""" t0OO:66<<<<44 laytn$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l1  t֖0OO:6659p֖ytn8kddD$$Ifl1N 1D!(%(+k/25"""""""""""""""  t֖0OO:66<<<<44 lap֖ytn=$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l" t0OO:6659ytnkd0D$$Ifl"N 1D!(%(+k/25""""""""""""""" t0OO:66<<<<44 laytn$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l1  t֖0OO:6659p֖ytn8kdVD$$Ifl1N 1D!(%(+k/25"""""""""""""""  t֖0OO:66<<<<44 lap֖ytn=$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l" t0OO:6659ytnkd"D$$Ifl"N 1D!(%(+k/25""""""""""""""" t0OO:66<<<<44 laytn$$If!vh555555555#v5#v#v#v#v#v#v:V lD  tP0OO:6659pPytnkdHD$$IflDִ 1D!(k/5"""""""  tP0OO:66    44 lapPytn=$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l" t0OO:6659ytnkdzD$$Ifl"N 1D!(%(+k/25""""""""""""""" t0OO:66<<<<44 laytn$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l"  t֖0OO:6659p֖ytn8kdD$$Ifl"N 1D!(%(+k/25"""""""""""""""  t֖0OO:66<<<<44 lap֖ytn=$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l" t0OO:6659ytnkdlD$$Ifl"N 1D!(%(+k/25""""""""""""""" t0OO:66<<<<44 laytn$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l"  t֖0OO:6659p֖ytn8kdD$$Ifl"N 1D!(%(+k/25"""""""""""""""  t֖0OO:66<<<<44 lap֖ytn=$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l" t0OO:6659ytnkd^D$$Ifl"N 1D!(%(+k/25""""""""""""""" t0OO:66<<<<44 laytn$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l"  t֖0OO:6659p֖ytn8kdD$$Ifl"N 1D!(%(+k/25"""""""""""""""  t֖0OO:66<<<<44 lap֖ytn=$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l" t0OO:6659ytnkdPD$$Ifl"N 1D!(%(+k/25""""""""""""""" t0OO:66<<<<44 laytn$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l"  t֖0OO:6659p֖ytn8kdvD$$Ifl"N 1D!(%(+k/25"""""""""""""""  t֖0OO:66<<<<44 lap֖ytn=$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l" t0OO:6659ytnkdBD$$Ifl"N 1D!(%(+k/25""""""""""""""" t0OO:66<<<<44 laytn$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l1  t֖0OO:6659p֖ytn8kdhD$$Ifl1N 1D!(%(+k/25"""""""""""""""  t֖0OO:66<<<<44 lap֖ytn=$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l" t0OO:6659ytnkd4D$$Ifl"N 1D!(%(+k/25""""""""""""""" t0OO:66<<<<44 laytn$$If!vh555A55A5A5V55A5 b5 A5 b5 _5 5 A5A#v5#vA#v#vA#vV#v#vA#v b#v A#v b#v _#v #v A:V l1  t֖0OO:6659p֖ytn8kdZD$$Ifl1N 1D!(%(+k/25"""""""""""""""  t֖0OO:66<<<<44 lap֖ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l; t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l;  tP0OO659pPytnkdE$$Ifl;ִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l, t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l  tP0OO659pPytnkd0E$$Iflִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l, t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l  tP0OO659pPytnkdQ E$$Iflִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l, t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l  tP0OO659pPytnkdrE$$Iflִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l, t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l  tP0OO659pPytnkdE$$Iflִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l, t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l  tP0OO659pPytnkdE$$Iflִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l; t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l;  tP0OO659pPytnkdE$$Ifl;ִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l, t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l,  tP0OO659pPytnkd#E$$Ifl,ִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l, t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l,  tP0OO659pPytnkd)E$$Ifl,ִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l, t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l,  tP0OO659pPytnkd8.E$$Ifl,ִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l, t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l,  tP0OO659pPytnkdY3E$$Ifl,ִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l, t0OO659ytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l,  tP0OO659pPytnkdz8E$$Ifl,ִ)2 C$$-(""""""""  tP0OO6    44 lapPytn$$If!vh55 5555455 #v#v #v#v#v#v4#v#v :V l; t0OO659ytn5$$If!vh5f 55555:5:55 5 5 5 $5 $5 5#vf #v#v:#v #v #v $#v :V l; t0OO659/ O/  ytnkd=E$$Ifl;N OPQ "%( ,.1""""""""""""""" t0OO6:659/ O/  ytnkdKE$$Ifl"N )X"%( ,/t369""""""""""""""" t0OO>:6:659/  pPytnkduE$$Ifl)ִ X% ,t39"""""""  tP0OO>:6    44 lapPytn%$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l t0OO>:659ytnkdE$$IflN )X"%( ,/t369""""""""""""""" t0OO>:6<<<<44 laytn$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l  t֖0OO>:659/  p֖ytn8kdɖE$$IflN )X"%( ,/t369"""""""""""""""  t֖0OO>:6<<<<44 lap֖ytn%$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l t0OO>:659ytnkdE$$IflN )X"%( ,/t369""""""""""""""" t0OO>:6<<<<44 laytn$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l  t֖0OO>:659/  p֖ytn8kdE$$IflN )X"%( ,/t369"""""""""""""""  t֖0OO>:6<<<<44 lap֖ytn%$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l t0OO>:659ytnkd[E$$IflN )X"%( ,/t369""""""""""""""" t0OO>:6<<<<44 laytn$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l  t֖0OO>:659/  p֖ytn8kdiE$$IflN )X"%( ,/t369"""""""""""""""  t֖0OO>:6<<<<44 lap֖ytn%$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l t0OO>:659ytnkd+E$$IflN )X"%( ,/t369""""""""""""""" t0OO>:6<<<<44 laytn$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l  t֖0OO>:659/  p֖ytn8kd9E$$IflN )X"%( ,/t369"""""""""""""""  t֖0OO>:6<<<<44 lap֖ytn%$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l t0OO>:659ytnkdE$$IflN )X"%( ,/t369""""""""""""""" t0OO>:6<<<<44 laytn$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l"  t֖0OO>:659/  p֖ytn8kd E$$Ifl"N )X"%( ,/t369"""""""""""""""  t֖0OO>:6<<<<44 lap֖ytn%$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l t0OO>:659ytnkdE$$IflN )X"%( ,/t369""""""""""""""" t0OO>:6<<<<44 laytn$$If!vh5 5050505/555/5 w5 M5 M5 5 5 /5/#v #v0#v/#v#v/#v w#v M#v #v /:V l"  t֖0OO>:659/  p֖ytn8kdE$$Ifl"N )X"%( ,/t369"""""""""""""""  t֖0OO>:6<<<<44 lap֖ytnA$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l t0OO:659/ O/  ytnkdE$$IflNN "%J),/37M:""""""""""""""" t0OO:65 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l t0OO:659ytnkd E$$IflNN "%J),/37M:""""""""""""""" t0OO:6<<<<44 laytn$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l  t֖0OO:659/  p֖ytn8kdE$$IflNN "%J),/37M:"""""""""""""""  t֖0OO:6<<<<44 lap֖ytn%$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l t0OO:659ytnkdE$$IflNN "%J),/37M:""""""""""""""" t0OO:6<<<<44 laytn$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l  t֖0OO:659/  p֖ytn8kdE$$IflNN "%J),/37M:"""""""""""""""  t֖0OO:6<<<<44 lap֖ytn%$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l t0OO:659ytnkdE$$IflNN "%J),/37M:""""""""""""""" t0OO:6<<<<44 laytn$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l  t֖0OO:659/  p֖ytn8kdE$$IflNN "%J),/37M:"""""""""""""""  t֖0OO:6<<<<44 lap֖ytn%$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l t0OO:659ytnkd{E$$IflNN "%J),/37M:""""""""""""""" t0OO:6<<<<44 laytn$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l  t֖0OO:659/  p֖ytn8kdF$$IflNN "%J),/37M:"""""""""""""""  t֖0OO:6<<<<44 lap֖ytn%$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l t0OO:659ytnkdKF$$IflNN "%J),/37M:""""""""""""""" t0OO:6<<<<44 laytn$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l  t֖0OO:659/  p֖ytn8kdY F$$IflNN "%J),/37M:"""""""""""""""  t֖0OO:6<<<<44 lap֖ytn%$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l t0OO:659ytnkdF$$IflNN "%J),/37M:""""""""""""""" t0OO:6<<<<44 laytn$$If!vh5 5151505055505 05 N5 N5 >5 5 050#v #v1#v0#v#v 0#v N#v >#v #v 0:V l  t֖0OO:659/  p֖ytn8kd)F$$IflNN "%J),/37M:"""""""""""""""  t֖0OO:6<<<<44 lap֖ytn5$$If!vh5 55555555 5 5 5 q5 q5 5#v #v#v#v #v #v q#v :V l; t0OO659/ O/  ytnkdF$$Ifl;N  #&)A-036""""""""""""""" t0OO6F$$Ifl,N  #&)A-036"""""""""""""""  t֖0OO6<<<<44 lap֖ytn$$If!vh5 55555555 5 5 5 q5 q5 5#v #v#v#v #v #v q#v :V l, t0OO659ytnkdqEF$$Ifl,N  #&)A-036""""""""""""""" t0OO6<<<<44 laytnz$$If!vh5 55555555 5 5 5 q5 q5 5#v #v#v#v #v #v q#v :V l,  t֖0OO659/  p֖ytn8kdsIF$$Ifl,N  #&)A-036"""""""""""""""  t֖0OO6<<<<44 lap֖ytn$$If!vh5 55555555 5 5 5 q5 q5 5#v #v#v#v #v #v q#v :V l, t0OO659ytnkd)PF$$Ifl,N  #&)A-036""""""""""""""" t0OO6<<<<44 laytnz$$If!vh5 55555555 5 5 5 q5 q5 5#v #v#v#v #v #v q#v :V l;  t֖0OO659/  p֖ytn8kd+TF$$Ifl;N  #&)A-036"""""""""""""""  t֖0OO6<<<<44 lap֖ytn$$If!vh5 55555555 5 5 5 q5 q5 5#v #v#v#v #v #v q#v :V l, t0OO659ytnkdZF$$Ifl,N  #&)A-036""""""""""""""" t0OO6<<<<44 laytnz$$If!vh5 55555555 5 5 5 q5 q5 5#v #v#v#v #v #v q#v :V l;  t֖0OO659/  p֖ytn8kd^F$$Ifl;N  #&)A-036"""""""""""""""  t֖0OO6<<<<44 lap֖ytnM$$If!vh5 55A555d555 5 5 A5 q5 q5 5A#v #v#vA#v#vd#v#v #v A#v q#v #vA:V l; t0OO659/ O/  ytnkdeF$$Ifl;N 3 #&*-03>7""""""""""""""" t0OO67"""""""  tP0OO6    44 lapPytn1$$If!vh5 55A555d555 5 5 A5 q5 q5 5A#v #v#vA#v#vd#v#v #v A#v q#v #vA:V l, t0OO659ytnkdnF$$Ifl,N 3 #&*-03>7""""""""""""""" t0OO6<<<<44 laytn$$If!vh5 55A555d555 5 5 A5 q5 q5 5A#v #v#vA#v#vd#v#v #v A#v q#v #vA:V l  t֖0OO659/  p֖ytn8kd/rF$$IflN 3 #&*-03>7"""""""""""""""  t֖0OO6<<<<44 lap֖ytn1$$If!vh5 55A555d555 5 5 A5 q5 q5 5A#v #v#vA#v#vd#v#v #v A#v q#v #vA:V l, t0OO659ytnkdxF$$Ifl,N 3 #&*-03>7""""""""""""""" t0OO6<<<<44 laytn$$If!vh5 55A555d555 5 5 A5 q5 q5 5A#v #v#vA#v#vd#v#v #v A#v q#v #vA:V l  t֖0OO659/  p֖ytn8kd}F$$IflN 3 #&*-03>7"""""""""""""""  t֖0OO6<<<<44 lap֖ytn1$$If!vh5 55A555d555 5 5 A5 q5 q5 5A#v #v#vA#v#vd#v#v #v A#v q#v #vA:V l, t0OO659ytnkdF$$Ifl,N 3 #&*-03>7""""""""""""""" t0OO6<<<<44 laytn$$If!vh5 55A555d555 5 5 A5 q5 q5 5A#v #v#vA#v#vd#v#v #v A#v q#v #vA:V l;  t֖0OO659/  p֖ytn8kdF$$Ifl;N 3 #&*-03>7"""""""""""""""  t֖0OO6<<<<44 lap֖ytn1$$If!vh5 55A555d555 5 5 A5 q5 q5 5A#v #v#vA#v#vd#v#v #v A#v q#v #vA:V l; t0OO659ytnkd͎F$$Ifl;N 3 #&*-03>7""""""""""""""" t0OO6<<<<44 laytnA$$If!vh5 5555A5555 5 5 A5 q5 q5 5A#v #v#vA#v#v #v A#v q#v #vA:V l; t0OO659/ O/  ytnkdF$$Ifl;N Y #&*-13?7""""""""""""""" t0OO6G$$Ifl4" % f )j-#n&)"""""""""      tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l4, t0OO6+ + + + 5 9 ytnkdzDG$$Ifl4," % f )j-#n&)"""""""""`"`"`"`" t0OO6444444 laytn7$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l4  tւ0OO6+ + + + 5 9 / pւytnkdHG$$Ifl4" % f )j-#n&)"""""""""      tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l4, t0OO6+ + + + 5 9 ytnkdNG$$Ifl4," % f )j-#n&)"""""""""`"`"`"`" t0OO6444444 laytn7$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l4  tւ0OO6+ + + + 5 9 / pւytnkdQG$$Ifl4" % f )j-#n&)"""""""""      tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l4, t0OO6+ + + + 5 9 ytnkdWG$$Ifl4," % f )j-#n&)"""""""""`"`"`"`" t0OO6444444 laytn7$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l4  tւ0OO6+ + + + 5 9 / pւytnkd\[G$$Ifl4" % f )j-#n&)"""""""""      tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l4, t0OO6+ + + + 5 9 ytnkdZaG$$Ifl4," % f )j-#n&)"""""""""`"`"`"`" t0OO6444444 laytn7$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l4  tւ0OO6+ + + + 5 9 / pւytnkddG$$Ifl4" % f )j-#n&)"""""""""      tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l4, t0OO6+ + + + 5 9 ytnkdjG$$Ifl4," % f )j-#n&)"""""""""`"`"`"`" t0OO6444444 laytn7$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l4  tւ0OO6+ + + + 5 9 / pւytnkdnG$$Ifl4" % f )j-#n&)"""""""""      tւ0OO6444444 lapւytn$$If!vh55 5 5 #v#v :V l; t0OO659ytn $$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l;  tւ0OO65 9 / pւytnkd?uG$$Ifl;" % f )j-#n&)"""""""""""""  tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l, t0OO65 9 ytnkd#{G$$Ifl," % f )j-#n&)""""""""""""" t0OO6444444 laytn $$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l,  tւ0OO65 9 / pւytnkd~G$$Ifl," % f )j-#n&)"""""""""""""  tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l, t0OO65 9 ytnkdG$$Ifl," % f )j-#n&)""""""""""""" t0OO6444444 laytn $$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l,  tւ0OO65 9 / pւytnkdG$$Ifl," % f )j-#n&)"""""""""""""  tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l, t0OO65 9 ytnkdG$$Ifl," % f )j-#n&)""""""""""""" t0OO6444444 laytn $$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l,  tւ0OO65 9 / pւytnkdG$$Ifl," % f )j-#n&)"""""""""""""  tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l, t0OO65 9 ytnkdgG$$Ifl," % f )j-#n&)""""""""""""" t0OO6444444 laytn $$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l,  tւ0OO65 9 / pւytnkdG$$Ifl," % f )j-#n&)"""""""""""""  tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l, t0OO65 9 ytnkdӠG$$Ifl," % f )j-#n&)""""""""""""" t0OO6444444 laytn $$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l,  tւ0OO65 9 / pւytnkd[G$$Ifl," % f )j-#n&)"""""""""""""  tւ0OO6444444 lapւytn$$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l, t0OO65 9 ytnkd?G$$Ifl," % f )j-#n&)""""""""""""" t0OO6444444 laytn $$If!v h55A5A5A5A5A5A5A5 A5 A5 A5 A5 A#v#v A:V l;  tւ0OO65 9 / pւytnkdǭG$$Ifl;" % f )j-#n&)"""""""""""""  tւ0OO6444444 lapւytn$$If!vh55 5 #v#v :V l; t0OO659/ O/  ytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l;  tZ0OO65 9 / pZytnkddG$$Ifl; ` #d'"""""""""  tZ0OO6$$$$44 lapZytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l, t0OO65 9 ytnkdG$$Ifl, ` #d'""""""""" t0OO6$$$$44 laytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l,  tZ0OO65 9 / pZytnkdG$$Ifl, ` #d'"""""""""  tZ0OO6$$$$44 lapZytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l, t0OO65 9 ytnkd,G$$Ifl, ` #d'""""""""" t0OO6$$$$44 laytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l,  tZ0OO65 9 / pZytnkdG$$Ifl, ` #d'"""""""""  tZ0OO6$$$$44 lapZytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l, t0OO65 9 ytnkdxG$$Ifl, ` #d'""""""""" t0OO6$$$$44 laytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l,  tZ0OO65 9 / pZytnkdHG$$Ifl, ` #d'"""""""""  tZ0OO6$$$$44 lapZytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l, t0OO65 9 ytnkdG$$Ifl, ` #d'""""""""" t0OO6$$$$44 laytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l,  tZ0OO65 9 / pZytnkdG$$Ifl, ` #d'"""""""""  tZ0OO6$$$$44 lapZytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l, t0OO65 9 ytnkdG$$Ifl, ` #d'""""""""" t0OO6$$$$44 laytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l,  tZ0OO65 9 / pZytnkdG$$Ifl, ` #d'"""""""""  tZ0OO6$$$$44 lapZytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l, t0OO65 9 ytnkd\G$$Ifl, ` #d'""""""""" t0OO6$$$$44 laytn$$If!v h55A5A5A5A5A5A5A5 A#v#v A:V l;  tZ0OO65 9 / pZytnkd,G$$Ifl; ` #d'"""""""""  tZ0OO6$$$$44 lapZytn$$If!vh55V5V5V#v#vV:V l; t0OO659/ O/  ytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l;  t֠0OO659/  p֠ytntkdiG$$Ifl;d6 w K O#&)#-d03""""""""""""""""  t֠0OO6@@@@44 lap֠ytn=$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4; t0OO6+ + + ++59ytnkdyG$$Ifl4;d6 w K O#&)#-d03"""""""""""`"`"`"`"`" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4  t֠0OO6+ + + ++59 /  p֠ytnwkdG$$Ifl4d6 w K O#&)#-d03"""""""""""       t֠0OO6@@@@44 lap֠ytn=$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4; t0OO6+ + + ++59ytnkdG$$Ifl4;d6 w K O#&)#-d03"""""""""""`"`"`"`"`" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4  t֠0OO6+ + + ++59 /  p֠ytnwkdFG$$Ifl4d6 w K O#&)#-d03"""""""""""       t֠0OO6@@@@44 lap֠ytn=$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4; t0OO6+ + + ++59ytnkduH$$Ifl4;d6 w K O#&)#-d03"""""""""""`"`"`"`"`" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4  t֠0OO6+ + + ++59 /  p֠ytnwkdH$$Ifl4d6 w K O#&)#-d03"""""""""""       t֠0OO6@@@@44 lap֠ytn=$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4; t0OO6+ + + ++59ytnkdH$$Ifl4;d6 w K O#&)#-d03"""""""""""`"`"`"`"`" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4  t֠0OO6+ + + ++59 /  p֠ytnwkdBH$$Ifl4d6 w K O#&)#-d03"""""""""""       t֠0OO6@@@@44 lap֠ytn=$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4; t0OO6+ + + ++59ytnkdqH$$Ifl4;d6 w K O#&)#-d03"""""""""""`"`"`"`"`" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4  t֠0OO6+ + + ++59 /  p֠ytnwkdH$$Ifl4d6 w K O#&)#-d03"""""""""""       t֠0OO6@@@@44 lap֠ytn=$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4; t0OO6+ + + ++59ytnkd%H$$Ifl4;d6 w K O#&)#-d03"""""""""""`"`"`"`"`" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l4  t֠0OO6+ + + ++59 /  p֠ytnwkd>*H$$Ifl4d6 w K O#&)#-d03"""""""""""       t֠0OO6@@@@44 lap֠ytn$$If!vh55V5V5V#v#vV:V l; t0OO659ytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l;  t֠0OO659/  p֠ytntkd2H$$Ifl;d6 w K O#&)#-d03""""""""""""""""  t֠0OO6@@@@44 lap֠ytn!$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l, t0OO659ytn kd"9H$$Ifl,d6 w K O#&)#-d03"""""""""""""""" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l  t֠0OO659/  p֠ytntkdR=H$$Ifld6 w K O#&)#-d03""""""""""""""""  t֠0OO6@@@@44 lap֠ytn!$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l, t0OO659ytn kdbDH$$Ifl,d6 w K O#&)#-d03"""""""""""""""" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l  t֠0OO659/  p֠ytntkdHH$$Ifld6 w K O#&)#-d03""""""""""""""""  t֠0OO6@@@@44 lap֠ytn!$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l, t0OO659ytn kdOH$$Ifl,d6 w K O#&)#-d03"""""""""""""""" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l  t֠0OO659/  p֠ytntkdSH$$Ifld6 w K O#&)#-d03""""""""""""""""  t֠0OO6@@@@44 lap֠ytn!$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l, t0OO659ytn kdZH$$Ifl,d6 w K O#&)#-d03"""""""""""""""" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l  t֠0OO659/  p֠ytntkd_H$$Ifld6 w K O#&)#-d03""""""""""""""""  t֠0OO6@@@@44 lap֠ytn!$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l, t0OO659ytn kd"fH$$Ifl,d6 w K O#&)#-d03"""""""""""""""" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l  t֠0OO659/  p֠ytntkdRjH$$Ifld6 w K O#&)#-d03""""""""""""""""  t֠0OO6@@@@44 lap֠ytn!$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v A#v R#v A:V l, t0OO659ytn kdbqH$$Ifl,d6 w K O#&)#-d03"""""""""""""""" t0OO6@@@@44 laytn$$If!vh55R5A5A5A5A5R5A5 A5 A5 A5 R5 A5 A5A5A#v#vR#vA#vR#v 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