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Are Ratings the Worst Form of Credit Assessment Except for All the Others?

Published online by Cambridge University Press:  16 January 2018

Andreas Blöchlinger  and
Markus Leippold
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Abstract

We present a prediction model to forecast corporate defaults. In a theoretical model, under incomplete information in a market with publicly traded equity, we show that our approach must outperform ratings, Altman’s Z-score, and Merton’s distance to default. We reconcile the statistical and structural approaches under a common framework; that is, our approach nests Altman’s and Merton’s approaches as special cases. Empirically, the combined approach is indeed the most powerful predictor, and the numbers of observed defaults align well with the estimated probabilities. With a new transformation method, we obtain cycle-adjusted forecasts that still outperform ratings.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 53 , Issue 1 , February 2018 , pp. 299 - 334
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2018 

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Footnotes

1

We thank an anonymous referee, Karan Bhanot, Peter Christoffersen, Sergei Davydenko, Jin-Chuan Duan, Michael Gordy, Jarrad Harford (the editor), Harald Hau, Liuren Wu, and participants at the 2012 European Finance Association Conference, the 2013 Risk Management Conference, the 2014 Quant Europe Conference, and finance seminars at the University of Zurich, and the University of Toronto for useful comments. We thank Basile Maire for augmenting and arranging the data set used for our empirical analysis. The content of this article reflects the personal view of the authors. In particular, it does not necessarily represent the opinion of the Zurich Cantonal Bank. Leippold gratefully acknowledges financial support from the Swiss Finance Institute (SFI) and Bank Vontobel.

References

Agarwal, V., and Taffler, R. J.. “Comparing the Performance of Market-Based and Accounting-Based Bankruptcy Prediction Models.” Journal of Banking and Finance, 32 (2008), 1541–1551.CrossRefGoogle Scholar
Akaike, H.“A New Look at the Statistical Model Identification.” IEEE Transactions on Automatic Control, 19 (1974), 716–723.CrossRefGoogle Scholar
Alp, A.“Structural Shifts in Credit Rating Standards.” Journal of Finance, 68 (2013), 2435–2470.CrossRefGoogle Scholar
Altman, E. I.“Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy.” Journal of Finance, 23 (1968), 589–609.Google Scholar
Altman, E. I.; Haldeman, R. G.; and Narayanan, P.. “ZETA Analysis: A New Model to Identify Bankruptcy Risk of Corporations.” Journal of Banking and Finance, 1 (1977), 29–54.CrossRefGoogle Scholar
Altman, E. I., and Rijken, H. A.. “A Point-in-Time Perspective on Through-the-Cycle Ratings.” Financial Analysts Journal, 62 (2006), 54–70.Google Scholar
Bharath, S. T., and Shumway, T.. “Forecasting Default with the KMV-Merton Model.” Discussion Paper, AFA 2006 Boston Meetings Paper (2006).Google Scholar
Bharath, S. T., and Shumway, T.. “Forecasting Default with the Merton Distance to Default Model.” Review of Financial Studies, 21 (2008), 1339–1369.CrossRefGoogle Scholar
Blöchlinger, A.“Validation of Default Probabilities.” Journal of Financial and Quantitative Analysis, 47 (2012), 1089–1123.CrossRefGoogle Scholar
Blöchlinger, A., and Leippold, M.. “Economic Benefit of Powerful Credit Scoring.” Journal of Banking and Finance, 30 (2006), 851–873.Google Scholar
Blöchlinger, A., and Leippold, M.. “A New Goodness-of-Fit Test for Event Forecasting and Its Application to Credit Defaults.” Management Science, 57 (2011), 471–486.CrossRefGoogle Scholar
Campbell, J.; Hilscher, J.; and Szilagyi, J.. “In Search of Distress Risk.” Journal of Finance, 63 (2008), 2899–2939.CrossRefGoogle Scholar
Cantor, R., and Mann, C.. “Special Comment: Measuring the Performance of Corporate Bond Ratings.” Moody’s Investors Service (Apr. 2003).Google Scholar
Cantor, R., and Mann, C.. “Analyzing the Tradeoff between Ratings Accuracy and Stability.” Journal of Fixed Income, 16 (2007), 60–68.Google Scholar
Chava, S., and Jarrow, R.. “Bankruptcy Prediction with Industry Effects.” Review of Finance, 8 (2004), 537–569.Google Scholar
Crosbie, P., and Bohn, J.. “Modeling Default Risk.” Moody’s KMV (2003).Google Scholar
Das, S.; Duffie, D.; Kapadia, N.; and Saita, L.. “Common Failings: How Corporate Defaults Are Correlated.” Journal of Finance, 62 (2007), 93–117.CrossRefGoogle Scholar
Deventer, D. R.; Li, L.; and Wang, X.. “Advanced Credit Model Performance Testing to Meet Basel Requirements.” In The Basel Handbook: A Guide for Financial Practitioners, Ong, M. K., ed. London, UK: Risk Books (2005).Google Scholar
Ding, A.; Tian, S.; Yu, Y.; and Guo, H.. “A Class of Discrete Transformation Survival Models with Application to Default Probability Prediction.” Journal of the American Statistical Association, 107 (2012), 990–1003.Google Scholar
Duan, J. C.; Sun, J.; and Wang, T.. “Multiperiod Corporate Default Prediction: A Forward Intensity Approach.” Journal of Econometrics, 170 (2012), 191–209.CrossRefGoogle Scholar
Duffie, D., and Lando, D.. “Term Structures of Credit Spreads with Incomplete Accounting Information.” Econometrica, 69 (2001), 633–664.CrossRefGoogle Scholar
Duffie, D.; Saita, L.; and Wang, K.. “Multi-Period Corporate Default Prediction with Stochastic Covariates.” Journal of Financial Economics, 83 (2007), 635–665.Google Scholar
Fama, E. F., and French, K. R.. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics, 33 (1993), 3–56.CrossRefGoogle Scholar
Fink, R.“Where Credit Is Due.” CFO Magazine (Nov. 2003).Google Scholar
Galil, K.“The Quality of Corporate Credit Rating: An Empirical Investigation.” EFMA 2003 Helsinki Meetings Paper (2003).CrossRefGoogle Scholar
Hamilton, J. D. Time Series Analysis. Princeton, NJ: Princeton University Press (1994).Google Scholar
Hillegeist, S.; Keating, E.; Cram, D.; and Lundstedt, K.. “Assessing the Probability of Bankruptcy.” Review of Accounting Studies, 9 (2004), 5–34.CrossRefGoogle Scholar
Hilscher, J., and Wilson, M. I.. “Credit Ratings and Credit Risk.” Working Paper, Brandeis University and Oxford University (2012).CrossRefGoogle Scholar
Hilscher, J., and Wilson, M. I.. “Credit Ratings and Credit Risk: Is One Measure Enough?” Management Science, 63 (2017), 3414–3437.CrossRefGoogle Scholar
Hosmer, D. W.; Hosmer, T.; le Cessie, S.; and Lemeshow, S.. “A Comparison of Goodness-of-Fit Tests for the Logistic Regression Model.” Statistics in Medicine, 16 (1997), 965–980.Google Scholar
Kane, G. D., and Meade, N. L.. “Ratio Analysis Using Rank Transformation.” Review of Quantitative Finance and Accounting, 10 (1998), 59–74.CrossRefGoogle Scholar
Kane, G. D.; Richardson, F. M.; and Meade, N. L.. “Rank Transformations and the Prediction of Corporate Failure.” Contemporary Accounting Research, 15 (1998), 145–166.CrossRefGoogle Scholar
Kiff, J.; Kisser, M.; and Schumacher, L.. “Rating Through-the-Cycle: What Does the Concept Imply for Rating Stability and Accuracy?” International Monetary Fund Working Paper 13-64 (2013).CrossRefGoogle Scholar
Lando, D., and Nielsen, M. S.. “Correlation in Corporate Defaults: Contagion or Conditional Independence?” Journal of Financial Intermediation, 19 (2010), 355–372.CrossRefGoogle Scholar
Lorenz, M. O.“Methods of Measuring the Concentration of Wealth.” Publications of the American Statistical Association, 9 (1905), 209–219.CrossRefGoogle Scholar
Maddala, G. S. Limited-Dependent and Qualitative Variables in Econometrics. Cambridge, UK: Cambridge University Press (1983).Google Scholar
Merton, R. C.“On the Pricing of Corporate Debt: The Risk Structure of Interest Rates.” Journal of Finance, 29 (1974), 449–470.Google Scholar
Shumway, T.“Forecasting Bankruptcy More Accurately: A Simple Hazard Model.” Journal of Business, 74 (2001), 101–124.Google Scholar
Spearman, C.“The Proof and Measurement of Association between Two Things.” American Journal of Psychology, 15 (1904), 88–103.Google Scholar
Stein, R.“The Relationship between Default Prediction and Lending Profits: Integrating ROC Analysis and Loan Pricing.” Journal of Banking and Finance, 29 (2005), 1213–1236.Google Scholar
The Economist. “Undue Credit.” The Economist (May 30, 2015).Google Scholar
Vassalou, M., and Xing, Y.. “Default Risk in Equity Returns.” Journal of Finance, 59 (2004), 831–868.CrossRefGoogle Scholar