On Comparing the Accuracy of Default Predictions in the Rating Industry
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- 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.
- Prof. Dr. Walter Krämer & Andre Güttler, "undated". "On comparing the accuracy of default predictions in the rating industry," Working Papers 2, Business and Social Statistics Department, Technische Universität Dortmund, revised Oct 2006.
References listed on IDEAS
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Cited by:
- Kurt Hornik & Rainer Jankowitsch & Manuel Lingo & Stefan Pichler & Gerhard Winkler, 2010. "Determinants of heterogeneity in European credit ratings," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 24(3), pages 271-287, September.
- Simon Cornée, 2014.
"Soft Information and Default Prediction in Cooperative and Social Banks,"
Journal of Entrepreneurial and Organizational Diversity, European Research Institute on Cooperative and Social Enterprises, vol. 3(1), pages 89-103, June.
- Simon Cornée, 2014. "Soft Information and Default Prediction in Cooperative and Social Banks," Post-Print halshs-01114142, HAL.
- Simon Cornée, 2014. "Soft Information and Default Prediction in Cooperative and Social Banks," Working Papers CEB 14-005, ULB -- Universite Libre de Bruxelles.
- Simon Cornée, 2014. "Soft Information and Default Prediction in Cooperative and Social Banks," Economics Working Paper Archive (University of Rennes & University of Caen) 201402, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
- Morkoetter, Stefan & Stebler, Roman & Westerfeld, Simone, 2017.
"Competition in the credit rating Industry: Benefits for investors and issuers,"
Journal of Banking & Finance, Elsevier, vol. 75(C), pages 235-257.
- Morkoetter, Stefan & Stebler, Roman & Westerfeld, Simone, 2015. "Competition in the Credit Rating Industry: Benefits for Investors and Issuers," Working Papers on Finance 1505, University of St. Gallen, School of Finance, revised Feb 2016.
- Chang, Charles & Fuh, Cheng-Der & Kao, Chu-Lan Michael, 2017. "Reading between the ratings: Modeling residual credit risk and yield overlap," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 114-135.
- 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.
- 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," CIRJE F-Series CIRJE-F-373, CIRJE, Faculty of Economics, 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.
- 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.
- Andre Güttler & Peter Raupach, 2010. "The Impact of Downward Rating Momentum," Journal of Financial Services Research, Springer;Western Finance Association, vol. 37(1), pages 1-23, February.
- Christophe Godlewski, 2004. "Are Bank Ratings Coherent with Bank Default Probabilities in Emerging Market Economies ?," Finance 0409023, University Library of Munich, Germany.
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Keywords
credit rating; probability forecasts; calibration;All these keywords.
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