ࡱ> fhcde%` Cbjbj"x"x b@@3h     www8w,w4 8z8z8z8z8zkZŀ$.h7 Yk7 8z8z!L 8z 8z 8z,z g^8wɅxb0<A<< Xׁ{77Ad [g g  Forecasting Default Rates: A Tricky Business Edward I. Altman* In this paper, we introduce two new market based methods for estimating the one year hence default rate on high-yield corporate bonds. Observing our two market-based measures for forecasting default rates for September 30, 2009, we see estimates between 8.57% and 11.18%. No doubt, the market-based approaches imply that investors expect a stressed economic and credit market scenario over the next 12 months and a resulting relatively high default rate. As noted in our Annual Reports, we utilize our mortality rate model to forecast the next years default rate and we only do this at one point in the year - - January. This forecast is recession-neutral in that it is based on the historical incidence of default from almost 40 years of experience covering five recessions and over 30 years of non-recession growth in the US economy. As such, it does not explicitly consider the macroeconomic outlook. The Altman Mortality Rate Default and Recovery Forecast In past reports and in a recent paper we have discussed why we believed that the 2006-2007 default rates were so low and why recoveries were above average. Using our mortality rate estimates (Figure 1) and the past new issuance rating amounts, we expected defaults to increase in 2008 and for the default rate to reach 4.64%. This is slightly above the historic average (3.1% arithmetic average and 3.9% weighted-average for the period 1971-2007). These rates imply about $53.1 billion of defaults in 2008. As shown in Figure 2, our 2007 estimate was considerably above the actual, but our new estimates are reinforced by a considerably higher distressed ratio and higher yield spreads (see below). Implicit in the mortality rate forecast is the rating distribution of new issues. Again, Figure 3 shows the proportion of new issue amounts rated B- or below (including nonrated issues). Note that this proportion has been relatively high in recent years. In conclusion, our model, which does not factor in GDP forecasts or any other macroeconomic factors, was expecting a significant increase in defaults (and bankruptcies) in 2008. Figure 1. Mortality Rates By Original Rating All Rated Corporate Bonds* (1971 - 2007) Years after issuance 12345678910AAAMarginal0.00%0.00%0.00%0.00%0.04%0.02%0.01%0.00%0.00%0.00%Cumulative0.00%0.00%0.00%0.00%0.04%0.06%0.07%0.07%0.07%0.07%AAMarginal0.00%0.00%0.29%0.13%0.02%0.02%0.00%0.00%0.04%0.01%Cumulative0.00%0.00%0.29%0.42%0.44%0.46%0.46%0.46%0.51%0.51%AMarginal0.01%0.07%0.02%0.05%0.05%0.08%0.05%0.21%0.08%0.04%Cumulative0.01%0.08%0.10%0.15%0.20%0.28%0.33%0.54%0.62%0.66%BBBMarginal0.31%3.08%1.29%1.21%0.70%0.29%0.23%0.17%0.11%0.38%Cumulative0.31%3.38%4.63%5.78%6.44%6.71%6.93%7.08%7.19%7.54%BBMarginal1.13%2.39%4.28%2.22%2.48%1.24%1.63%1.09%1.69%3.42%Cumulative1.13%3.49%7.62%9.69%11.90%13.01%14.42%15.36%16.79%19.63%BMarginal2.78%6.72%7.28%8.44%5.98%4.30%3.91%2.36%1.94%0.95%Cumulative2.78%9.22%15.83%22.93%27.54%30.65%33.36%34.93%36.20%36.80%CCCMarginal7.88%15.31%18.68%11.67%4.10%9.32%5.75%5.65%0.82%4.66%Cumulative7.88%21.98%36.56%43.96%46.26%51.37%54.07%56.68%57.02%59.02%*Rated by S&P at issuance based on 1,990 issues Source: Standard & Poor's (New York) and Author's Compilation Figure 2. Forecasts of Default and Recovery Rates in the High-Yield Bond Market, 2007 - 2008 YearDefault RateDefault Amount ($ billion)Recovery Rate*2007 (Forecast)2.50%$27.559.4%2007 (Actual)0.51%$5.566.6%2008 (Forecast)4.64%$53.135.8%*Based on the log-linear default/recovery rate regression (See Figure 16) Source: Mortality Rates (Figure 1), All Corporate Bond Issuance and Authors' Estimates of Market Size in 2008. Figure 3. Percentage of New High-Yield Issues Rated B- or Below Based on Amount of Issuance  Source: Standard & Poors Global Fixed Income Research. Market Based Measures To complement our mortality rate forecasting approach, we now introduce two new techniques that will consider the markets expectations of default rates based on continuously changing market indicators. These are (1) the yield spread required by investors in high-yield bonds and (2) a related measure called the distressed ratio. Yield-Spread Analysis One measure of market sentiment and risk preference is indicated in the yield spread required by high-yield investors. Our risk-free benchmark has always been the average yield-to-maturity on the Citi high-yield bond markets index compared to the yield on ten-year US Treasuries. As seen in Figure 4, that spread has varied from 281bp in 1978 to 1050 in 1990, based on end-of-years spreads. Actually, the highest spread, before the current periods flight to quality in 2008, exceeded 1100bp in early 1991 and was as low as 260bp on June 12, 2007 (see Figure 5). While the yield spread also includes liquidity risk considerations and other risk preferences over time, we argue that a fundamental component of the yield spread is the expected and unexpected risk of loss due to defaults on the firms securities that comprise the index. Figure 4. Annual Returns, Yields, and Spreads on 10-Yr Treasury and High-Yield Bonds,a 19783Q 08 Return(%)Yield To Maturity (%)YearHYTreasExcess HYTreasSpread3Q 08(10.51)4.51(15.02)14.203.8210.3820071.839.77(7.95) 9.694.035.66 2006 11.85 1.37 10.47 7.82 4.70 3.11 2005 2.08 2.04 0.04 8.44 4.39 4.05 2004 10.79 4.87 5.92 7.35 4.21 3.14 2003 30.62 1.25 29.37 8.00 4.26 3.74 2002 (1.53)14.66 (16.19)12.38 3.82 8.56 2001 5.44 4.01 1.43 12.31 5.04 7.27 2000 (5.68)14.45 (20.13)14.56 5.12 9.44 1999 1.73 (8.41)10.14 11.41 6.44 4.97 1998 4.04 12.77 (8.73)10.04 4.65 5.39 199714.27 11.16 3.11 9.20 5.75 3.45 199611.24 0.04 11.20 9.58 6.42 3.16 199522.40 23.58 (1.18)9.76 5.58 4.18 1994(2.55)(8.29)5.74 11.50 7.83 3.67 199318.33 12.08 6.25 9.08 5.80 3.28 199218.29 6.50 11.79 10.44 6.69 3.75 1991 43.23 17.18 26.05 12.56 6.70 5.86 1990(8.46)6.88 (15.34)18.57 8.07 10.50 19891.98 16.72 (14.74)15.17 7.93 7.24 198815.25 6.34 8.91 13.70 9.15 4.55 19874.57 (2.67)7.24 13.89 8.83 5.06 198616.50 24.08 (7.58)12.67 7.21 5.46 198526.08 31.54 (5.46)13.50 8.99 4.51 19848.50 14.82 (6.32)14.97 11.87 3.10 198321.80 2.23 19.57 15.74 10.70 5.04 198232.45 42.08 (9.63)17.84 13.86 3.98 19817.56 0.48 7.08 15.97 12.08 3.89 1980(1.00)(2.96)1.96 13.46 10.23 3.23 19793.69 (0.86)4.55 12.07 9.13 2.94 19787.57 (1.11)8.68 10.92 8.11 2.81 Arithmetic Annual Average1978200710.76 8.55 2.21 12.09 7.25 4.83 Standard Deviation12.03 11.44 12.00 2.95 2.65 2.01 Compound Annual Average1978200710.16 8.00 2.16 a End-of-year yields. Source: Yield Book. Figure 5. YTM Spread Between High-Yield Bonds and 10-Yr Treasury Notes, 1 Jun 0717 Oct 08  Source: Citi Yield Book. The statistical association between end-of-year yield spreads and one-year later default rates is shown in Figure 6 for our dollar-denominated default rates for the period 1978-2007. We estimate the linear regression relationship between these two variables and find that there is a positive and extremely significant association between what investors require in the form of a yield-spread and the one-year future default rate. Indeed, the yield spread in period (t) explains almost 70% (R2 = 69.4%) of the variance of default rate in period (t+1). Using data on yield spreads from three relevant recent points in time, shown at the bottom of Figure 6, we can observe what was or is estimated to be the one-year hence default rate. Specifically, on June 12, 2007, when the yield-spread was the lowest in the entire history of the high-yield bond market (260bp), the expected default rate was 0.36% - - a rate that would have been the second lowest in the markets history (in 1981, the default rate was 0.158%, see Figure 7). The actual last 12-month default rate on June 30, 2008 (one year later) was 1.83%). Inserting the yield-spread at year-end 2007 (5.66%), the forecasted default rate for year-end 2008 is 4.62%, extremely close to our 4.64% forecast using the mortality rate approach. Finally, inserting the extremely high current yield-spread as of September 30, 2008 of 1,038bp, our market-based regression estimate for the dollar-denominated default rate is 11.178%, which would be a huge increase over the last-12-month rate at the end of the third quarter of this year (2.22%). As noted above, the regression found in Figure 6 is relevant to our dollar-denominated default rate. Some analysts also consider the issuer-denominated rate, such as the ones calculated by Moodys or S&P. A similar regression of the yield-spreads association with one-year hence Moodys default rates is shown in Figure 7. Note that the explanatory power of this linear model is even greater (R2 = 75.0%) than with our dollar-denominated default rate and the t-test is an impressive 7.20, indicating a very high confidence level - - as was the case with the dollar-denominated results (t = 7.83). Inserting the yield spreads at the same three relevant recent dates, we find that the one-year forecasts for the Moodys issuer-denominated default rate is 1.91% (for June 2008), 5.55% (for December 2008) and 11.17% (for September 2009). The actual default rate as of the end of June 2008 was 2.43%, and the forecast for September 2009 is almost identical to our dollar-denominated forecast of 11.18%. Figure 6. Dollar Denominated (Altman) Default Rate Forecast: Default Rate[t+1] Versus Yield Spread[t]   Sources: Authors calculations: Data from E. Altman, NYU Salomon Center, Figures 1 and 11, and the Citi Yield Book Figure 7. Issuer Denominated (Moodys) Default Rate Forecast: Issuer Default Rate[t+1] Versus Yield Spread[t]   Sources: Authors calculations: Data from Moodys Investors Service and the Citi Yield Book Distressed Ratio Analysis A similar conceptual line of reasoning can be put forward for utilizing the distressed ratio as an indicator of the markets expectation of future default rates. Recall that the distress ratio is the par amount percentage of high-yield bonds that is trading at an OAS yield-spread of at least 1,000bp over 10-year Treasury Bonds. As such, the securities that conform to this criterion are priced at amongst the most risky by market participants. And, as expected, the correlation between the yield-to-maturity spread and the OAS distressed ratio is very high. Although we expected the correlation to be high, we were surprised to find that this correlation was as high as 96.0% based on annual data points from 1988-2007! The historic regression association between the distressed ratio and one-year-later default rates can be seen in Figure 8 (for the dollar-denominated) and Figure 9 (for the issuer-denominated) rates. We also calculate the forecasts from the same three reference dates as we observed for the yield-spread regressions. The explanatory power (R2s) of the distressed ratio on the dollar-denominated and issuer-denominated default rates were excellent at 65.1% and 80.0%, respectively, although the t-tests were slightly lower than what we observed for the yield spread indicator. The one-year forecasts for default rates, based on data as of September 2008, are 8.57% (dollar-denominated) and 8.78% (issuer-denominated). As of September 30, 2008, the distressed ratio reached an all-time high of 40.20%, when the average yield spread actually exceeded 1,000bp. It appears that more than 50% of the outstanding high yield issues had spreads over 1,000bp, since only about 40% of the par amount in the market had spreads over 1,000bp. Figure 8. Dollar Denominated (Altman) Default Rate Forecast: Default Rate[t+1] Versus Distress* Ratio[t]   *Proportion of High-Yield Bonds yielding at least 1,000bp over 10-year Treasury Bonds. Sources: Authors calculations: Data from Figure 1 and the Distress Ratio data from Merrill Lynch & Co. Figure 9. Issuer Denominated (Moodys) Default Rate Forecast: Issuer Default Rate[t+1] Versus Distress* Ratio[t]   *Proportion of High-Yield Bonds yielding at least 1,000bp over 10-year Treasury Bonds.Sources: Authors calculations: Data from Moodys Investors Service and the Distress Ratio data from Merrill Lynch & Co. In summary, observing our two market-based measures for forecasting default rates for September 30, 2009, we see estimates between 8.57% and 11.18%. No doubt, the market-based approaches imply that investors expect a stressed economic and credit market scenario over the next 12 months and a resulting relatively high default rate. *Max L. Heine Professor of Finance, NYU Stern School of Business, and Director of Credit and Debt Markets Research at the NYU Salomon Center  E.Altman, 2007, Global Debt Markets in 2007: New Paradigm or Great Credit Bubble, Journal of Applied Corporate Finance, vol. 19, #3, 19-31.  This analysis is excerpted from E. Altman and B. Karlin, Defaults & Returns in the High-Yield Bond Market: Third Quarter 2008 Review, NYU Salomon Center, October 2008.  E. Altman first introduced the Distressed Ratio measure as an important market indicator in his early white paper and book on Investing in Distressed Securities: The Anatomy of Defaulted Debt and Equities, Altman-Foothill Report, (April 1990) and Distressed Securities, Probus, (1991), Chapter 1, reprinted by Beard Books (1999). The current industry-accepted definition of the distressed ratio utilizes the option adjusted spread (OAS) of the index over the yield of a US Treasury security of similar duration. A recent paper by P. Chen, J. Gonzalez-Heres and S. Shin, The Distressed Debt Cycle from a Hedge Fund Investors Perspective, Journal of Alternative Investment, Summer 2008, utilized a complex, regime-shift model that showed that the distressed ratio was an excellent gauge of expected distressed debt hedge fund returns. Finally, Fridson utilized the distressed ratio in his high-yield bond market analytics, see M. Fridsons Distressed Ratio as Default Rate Predictor, Leveraged World, vol. 6, no. 7 (2008).  We also tried combining both the yield-spread and distressed ratio into a multi-variate regression to explain default rates but the results were no better than our individual uni-variate regressions. This is, no doubt, due the very high correlation (0.96) between the two explanatory variables. In addition, logarithmic transformations of the variables showed significant but lower explanatory power.     -=>?@BMN  - .   * . 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