аЯрЁБс>ўџ <>ўџџџ;џџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџьЅСu@ јП9 bjbjцц (0ŒŒ9џџџџџџˆjjjjjjj~ц ц ц ц  ~#Ж* (R R R R R R R ЂЄЄЄЄЄЄ$йR+dШjBR R BBШjjR R нюююBFjR jR ЂюBЂююjjR  `N…IˆЕХц ˆ"– ѓ0#Њ.~~jjjjj”R vШ Tю D` тR R R ШШ~~DТ$и~~ТPotential Team Project Topics The UH Office of Human Resources is seeking help from us in the redesign of their retirement website. The following two topics relate to that effort: 1) Improve on the ORP project. Re-evaluate the 15 ORP providers using the 1 year, 3 year, and 5 year data found at smartmoney.com. The ORP project can be found at  HYPERLINK "http://www.bauer.uh.edu/drude" www.bauer.uh.edu/drude. 2) Detailed evaluation of returns for an ORP provider’s fund offerings. Compare fund returns to appropriate temporal and index benchmarks. A list of ORP providers can be found below. UH lists 15 ORP providers on its HR web site: AIG/VALIC American Express Financial Advisors/IDS Life Insurance Company Fidelity Investments Great American Ins. CO. ING/Aetna Financial Midland National Life Kemper Investors Life/Zurich Life Lincoln National Life Merrill Lynch Met Life Resources The Pioneer Group (Has been done. Read it at www.bauer.uh.edu/drude.) Resources Trust Co. T. Rowe Price The Travelers Company/ CitiStreet TIAA-CREF The website also lists names and addresses of representatives. The website is  HYPERLINK "http://www.uh.edu/hr/backup/benefits/retire/ORP_Carriers.xls" http://www.uh.edu/hr/backup/benefits/retire/ORP_Carriers.xls 3) UH faculty choose between a defined benefit retirement program (TRS-Texas Retirement System) and a defined contribution program (ORP-Optional Retirement Program). Most have a difficult time making this choice. Provide guidelines for choosing between them. In addition, provide a method for comparing a mutual fund to the relevant index. In addition, provide guidelines for deciding whether to move money from one retirement provider to another (i.e., determining how much surrender fees are and when it is advantageous to move savings from one ORP provider to another). Other potential topics include the following. 4) The horse race task has been in use for over 10 years and uses the “clunky” DOS based software. Convert the task into an Excel spreadsheet. In addition create two new tasks that can be used in future classes. 5) Financial Engines are a set of retirement planning software. A previous team has designed a very basic Excel program for estimating whether one’s retirement resources will last the rest of their lives. This program needs to be updated and extended to enable one to asses one’s chances for reaching retirement goals. The team should also modify the “will my money last through retirement?” project by researching joint life expectancies for a couple of different ages. 6) Update a test of an anomaly. There are three important questions concerning anomalies: Do they exist? Do they persist? Can you make money from them? At least 20 to 30 anomalies have been identified. (See the papers in the anomalies section of the readings.) Update tests of an anomaly. For example, update the CJ & L anomaly study (below) by testing it with a more recent, smaller sample. Chan, Jegadeesh, and Lakonishok tested the profitability of momentum strategies. They addressed the question, “Does a stock price going up considerably over several months imply anything about its price in the future? Their sample included all stocks listed on the NYSE, Amex, and NASDAQ during the periods 1973-1993 and 1994-1998. They assigned stocks to deciles based upon prior six month return. They examined the performance of winner stock portfolios (selected from the top 10%) and the performance of loser stock portfolios (selected from the bottom 10%) over the subsequent 6 months and 12 months. They found that the winner portfolios outperformed the loser portfolios by 8.8% over the subsequent six months and by 15.4% over the subsequent 12 months. They conclude that momentum strategies (as a method for stock selection) can be profitable in the short term and intermediate term. 7) Can stock pickers pick? This project will improve upon and extend several past projects. Using S&P 500 stocks, random portfolios (which reflect varying levels of underlying knowledge) will be generated for each of the years 2001-2004. Returns will be collected for 100 large cap mutual funds for each year. Then, for each year, the actual return distributions will be compared to the return distributions for the randomly generated portfolios. In this way, the level of knowledge held by mutual fund managers will be estimated. This project can also be done for bonds, tech stocks, and small cap stocks. 8) Find a UAW family and a PAW family (both must be at least five years out of school). Interview them to see if they differ on Stanley and Danko’s “Millionaire Next Door” dimensions (e.g, live below means, do financial planning, no EOC for them or their children). AS you approach potential “targets,” tell them that you will analyze their approach to managing their finances and offer suggestions for improvement. 9) Evaluate your employer’s retirement offerings. How good are the companies that offer retirement services? 10) The Bauer College operates the Cougar Fund (managed by MBA students). Evaluate its performance throughout its history. (More needs to be added to this topic to make it a full-fledged project for this class.) 11) The Department of Finance faculty has substantial expertise regarding investments. How do they invest their retirement savings? Do they invest in a manner consistent with the principles of their field? The following projects have been done in the past and could be improved upon. 12) Assess the accuracy of Business Week's annual mutual fund predictions for four different kinds of funds. Potential cues include turnover, risk, 5 year pre-tax rate of return, and P/E ration were measured. 13) Predict the direction of change in daily S&P 500 index was predicted using cues such as a) day of the week of the prediction date, b) S&P 500 performance during the week immediately preceding the prediction day, c) performance of the Nikkei 225 index during the day preceding the prediction day, and d) performance of the Lehman Brothers Long Bond index during the trading day prior to the date of prediction.  $+2˜›œПймa b  Ž  Ѕ І Ї Ј Њ Ћ ­ У Ф т № ё ђ ѕ њ ћ c d ’ “  ž н о ѓ є ! 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