Default Predictors in Credit Scoring - Evidence from France’s Retail Banking Institution
The aim of this paper is to present the set-up of a behavioral credit-scoring model and to estimate such a model using the auto loan data set of one of the largest multinational financial institutions based in France. We rely on a logistic regression approach, which is commonly used in credit scoring, to construct a behavioral scorecard. A detailed description of the model building process is provided, as are discussions about specific modeling issues. The paper then uses a number of quantitative criteria to identify the model best suited to modeling. Finally, it is demonstrated that such model possesses the desirable characteristics of a scorecard.
|Date of creation:||2014|
|Date of revision:|
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- Evzen Kocenda & Martin Vojtek, 2011.
"Default Predictors in Retail Credit Scoring: Evidence from Czech Banking Data,"
William Davidson Institute Working Papers Series
wp1015, William Davidson Institute at the University of Michigan.
- Evžen Kocenda & Martin Vojtek, 2011. "Default Predictors in Retail Credit Scoring: Evidence from Czech Banking Data," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 47(6), pages 80-98, November.
- Evžen Kocenda & Martin Vojtek, 2009. "Default Predictors and Credit Scoring Models for Retail Banking," CESifo Working Paper Series 2862, CESifo Group Munich.
- Tobias Berg & Manju Puri & Jorg Rocholl, 2013. "Loan officer Incentives and the Limits of Hard Information," NBER Working Papers 19051, National Bureau of Economic Research, Inc.
- Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2006.
"Internal ratings systems, implied credit risk and the consistency of banks' risk classification policies,"
Journal of Banking & Finance,
Elsevier, vol. 30(7), pages 1899-1926, July.
- Jacobson, Tor & Lindé, Jesper & Roszbach, Kasper, 2003. "Internal Ratings Systems, Implied Credit Risk and the Consistency of Banks’ Risk Classification Policies," Working Paper Series 155, Sveriges Riksbank (Central Bank of Sweden).
- Campbell, Tim S & Dietrich, J Kimball, 1983. " The Determinants of Default on Insured Conventional Residential Mortgage Loans," Journal of Finance, American Finance Association, vol. 38(5), pages 1569-81, December.
- Robert B. Avery & Kenneth P. Brevoort & Glenn Canner, 2012.
"Does Credit Scoring Produce a Disparate Impact?,"
Real Estate Economics,
American Real Estate and Urban Economics Association, vol. 40, pages S65-S114, December.
- Anderson, Raymond, 2007. "The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation," OUP Catalogue, Oxford University Press, number 9780199226405, December.
- Becchetti, Leonardo & Sierra, Jaime, 2003.
"Bankruptcy risk and productive efficiency in manufacturing firms,"
Journal of Banking & Finance,
Elsevier, vol. 27(11), pages 2099-2120, November.
- Leonardo Becchetti & Jaime Humberto Sierra Gonzalez 2, 2003. "Bankruptcy Risk and Productive Efficiency in Manufacturing Firms," CEIS Research Paper 30, Tor Vergata University, CEIS.
- Yvo M. I. Dirickx & Lee Wakeman, 1976. "An Extension of the Bierman-Hausman Model for Credit Granting," Management Science, INFORMS, vol. 22(11), pages 1229-1237, July.
- Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
- Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, 09.
- Lawrence, Edward C & Arshadi, Nasser, 1995. "A Multinomial Logit Analysis of Problem Loan Resolution Choices in Banking," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(1), pages 202-16, February.
- Benjamin J. Keys & Tanmoy Mukherjee & Amit Seru & Vikrant Vig, 2010. "Did Securitization Lead to Lax Screening? Evidence from Subprime Loans," The Quarterly Journal of Economics, Oxford University Press, vol. 125(1), pages 307-362.
- Wiginton, John C., 1980. "A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(03), pages 757-770, September.
- Edmister, Robert O., 1972. "An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(02), pages 1477-1493, March.
- Harold Bierman, Jr. & Warren H. Hausman, 1970. "The Credit Granting Decision," Management Science, INFORMS, vol. 16(8), pages B519-B532, April.
- Venkat Srinivasan & Yong H. Kim, 1987. "Note---The Bierman-Hausman Credit Granting Model: A Note," Management Science, INFORMS, vol. 33(10), pages 1361-1362, October.
- Andreas Charitou & Evi Neophytou & Chris Charalambous, 2004. "Predicting corporate failure: empirical evidence for the UK," European Accounting Review, Taylor & Francis Journals, vol. 13(3), pages 465-497.
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