On comparing the accuracy of default predictions in the rating industry
AbstractWe consider 1927 borrowers from 54 countries who had a credit rating by both Moody's and S&P at the end of 1998, and their subsequent default history up to the end of 2002. Viewing bond ratings as predicted probabilities of default, we consider partial orderings among competing probability forecasters and show that Moody's and S&P cannot be ordered according to any of these. Therefore, the relative performance of the agencies depends crucially on the way in which probability predictions are compared.
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Bibliographic InfoPaper provided by Business and Social Statistics Department, Technische Universität Dortmund in its series Working Papers with number 2.
Length: 26 pages
Date of creation:
Date of revision: Oct 2006
Publication status: Published in Empirical Economics, May 2008, pages 343-356
credit rating; probability forecasts; calibration;
Other versions of this item:
- Walter Krämer & André Güttler, 2008. "On comparing the accuracy of default predictions in the rating industry," Empirical Economics, Springer, vol. 34(2), pages 343-356, March.
- André Güttler & Walter Kraemer, 2008. "On Comparing the Accuracy of Default Predictions in the Rating Industry," CESifo Working Paper Series 2202, CESifo Group Munich.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Carey, Mark & Hrycay, Mark, 2001. "Parameterizing credit risk models with rating data," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 197-270, January.
- Krämer, Walter, 2002.
"On the ordering of probability forecasts,"
2002,50, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Walter Krämer, 2006.
"Evaluating probability forecasts in terms of refinement and strictly proper scoring rules,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 25(3), pages 223-226.
- Krämer, Walter, 2003. "Evaluating probability forecasts in terms of refinement and strictly proper scoring rules," Technical Reports 2003,24, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Diebold, Francis X & Mariano, Roberto S, 1995.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 13(3), pages 253-63, July.
- Tom Doan, . "DMARIANO: RATS procedure to compute Diebold-Mariano Forecast Comparison Test," Statistical Software Components RTS00055, Boston College Department of Economics.
- Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Christophe Godlewski, 2004. "Are Bank Ratings Coherent with Bank Default Probabilities in Emerging Market Economies ?," Finance 0409023, EconWPA.
- Darrel Duffie & Leandro Saita & Ke Wang, 2005.
"Multi-Period Corporate Default Prediction With Stochastic Covariates,"
CIRJE-F-373, CIRJE, Faculty of Economics, University of Tokyo.
- Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007. "Multi-period corporate default prediction with stochastic covariates," Journal of Financial Economics, Elsevier, vol. 83(3), pages 635-665, March.
- Darrel Duffie & Leandro Saita & Ke Wang, 2005. "Multi-Period Corporate Default Prediction With Stochastic Covariates," CARF F-Series CARF-F-047, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Darrell Duffie & Leandro Siata & Ke Wang, 2006. "Multi-Period Corporate Default Prediction With Stochastic Covariates," NBER Working Papers 11962, National Bureau of Economic Research, Inc.
- Kurt Hornik & Rainer Jankowitsch & Manuel Lingo & Stefan Pichler & Gerhard Winkler, 2010. "Determinants of heterogeneity in European credit ratings," Financial Markets and Portfolio Management, Springer, vol. 24(3), pages 271-287, September.
- Orth, Walter, 2010. "The predictive accuracy of credit ratings: Measurement and statistical inference," MPRA Paper 30148, University Library of Munich, Germany, revised 16 Feb 2011.
- Andre Güttler & Peter Raupach, 2010. "The Impact of Downward Rating Momentum," Journal of Financial Services Research, Springer, vol. 37(1), pages 1-23, February.
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