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An empirical comparison of default risk forecasts from alternative credit rating philosophies

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  • Rosch, Daniel
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    Article provided by Elsevier in its journal International Journal of Forecasting.

    Volume (Year): 21 (2005)
    Issue (Month): 1 ()
    Pages: 37-51

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    Handle: RePEc:eee:intfor:v:21:y:2005:i:1:p:37-51

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    Web page: http://www.elsevier.com/locate/ijforecast

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    1. Crouhy, Michel & Galai, Dan & Mark, Robert, 2001. "Prototype risk rating system," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 47-95, January.
    2. Dimitrios P Tsomocos & Eva Catarineu-Rabell, 2003. "Procyclicality and the new Basel Accord - Banks` choice of loan rating system," Economics Series Working Papers 2003-FE-06, University of Oxford, Department of Economics.
    3. Michael B. Gordy, 2002. "A risk-factor model foundation for ratings-based bank capital rules," Finance and Economics Discussion Series 2002-55, Board of Governors of the Federal Reserve System (U.S.).
    4. Berkowitz, Jeremy, 2001. "Testing Density Forecasts, with Applications to Risk Management," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 465-74, October.
    5. Hamerle, Alfred & Liebig, Thilo & Rösch, Daniel, 2003. "Credit Risk Factor Modeling and the Basel II IRB Approach," Discussion Paper Series 2: Banking and Financial Studies 2003,02, Deutsche Bundesbank, Research Centre.
    6. Lando, David & Skodeberg, Torben M., 2002. "Analyzing rating transitions and rating drift with continuous observations," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 423-444, March.
    7. Michael B. Gordy, 1998. "A comparative anatomy of credit risk models," Finance and Economics Discussion Series 1998-47, Board of Governors of the Federal Reserve System (U.S.).
    8. Treacy, William F. & Carey, Mark, 2000. "Credit risk rating systems at large US banks," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 167-201, January.
    9. Carey, Mark & Hrycay, Mark, 2001. "Parameterizing credit risk models with rating data," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 197-270, January.
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    Cited by:
    1. Feng, D. & Gourieroux, C. & Jasiak, J., 2008. "The ordered qualitative model for credit rating transitions," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 111-130, January.
    2. Alexander B. Matthies, 2013. "Empirical Research on Corporate Credit-Ratings: A Literature Review," SFB 649 Discussion Papers SFB649DP2013-003, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Paul Mizen & Serafeim Tsoukas, 2011. "Forecasting US bond default ratings allowing for previous and initial state dependence in an ordered probit model," Working Papers 2011_19, Business School - Economics, University of Glasgow.
    4. Rösch, Daniel & Scheule, Harald, 2009. "Credit rating impact on CDO evaluation," Global Finance Journal, Elsevier, vol. 19(3), pages 235-251.
    5. Michael Kalkbrener & Akwum Onwunta, 2009. "Validating Structural Credit Portfolio Models," Working Papers 014, COMISEF.
    6. Koopman, Siem Jan & Lucas, Andre & Klaassen, Pieter, 2005. "Empirical credit cycles and capital buffer formation," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 3159-3179, December.
    7. Rym Ayadi & Beat Bernet & Simone Westerfeld & Tom Franck & Nancy Huyghebaert & Vítor Gaspar & Simona Bovha-Padilla & Reinhilde Veugelers, 2009. "Financing of SMEs in Europe," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
    8. Mahlmann, Thomas, 2006. "Estimation of rating class transition probabilities with incomplete data," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3235-3256, November.
    9. Gann, Philipp & Laut, Amelie, 2008. "Einflussfaktoren auf den Credit Spread von Unternehmensanleihen," Discussion Papers in Business Administration 4231, University of Munich, Munich School of Management.
    10. McNeil, Alexander J. & Wendin, Jonathan P., 2007. "Bayesian inference for generalized linear mixed models of portfolio credit risk," Journal of Empirical Finance, Elsevier, vol. 14(2), pages 131-149, March.

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