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Default Predictors in Credit Scoring - Evidence from France’s Retail Banking Institution

  • Ha-Thu Nguyen

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.

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Paper provided by University of Paris West - Nanterre la Défense, EconomiX in its series EconomiX Working Papers with number 2014-26.

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Length: 20 pages
Date of creation: 2014
Date of revision:
Handle: RePEc:drm:wpaper:2014-26
Contact details of provider: Postal: 200 Avenue de la République, Bât. G - 92001 Nanterre Cedex
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  1. Leonardo Becchetti & Jaime Humberto Sierra Gonzalez 2, 2003. "Bankruptcy Risk and Productive Efficiency in Manufacturing Firms," CEIS Research Paper 30, Tor Vergata University, CEIS.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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, MIT Press, vol. 125(1), pages 307-362, February.
  11. 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.
  12. Harold Bierman, Jr. & Warren H. Hausman, 1970. "The Credit Granting Decision," Management Science, INFORMS, vol. 16(8), pages B519-B532, April.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
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