Bank Lending Policy, Credit Scoring and the Survival of Loans
To evaluate loan applicants, banks increasingly use credit scoring models. The objective of such models typically is to minimize default rates or the number of incorrectly classified loans. Thereby they fail to take into account that loans are multiperiod contracts for which reason it is important for banks not only to know if but also when a loan will default. In this paper a bivariate Tobit model with a variable censoring threshold and sample selection effects is estimated for (1) the decision to provide a loan or not and (2) the survival of granted loans. The model proves to be an effective tool to separate applicants with short survival times from those with long survivals. The bank’s loan provision process is shown to be ineffcient: loans are granted in a way that conflicts with both default risk minimization and survival time maximization. There is thus no trade-off between higher default risk and higher return in the lending policy.
|Date of creation:||01 Nov 2003|
|Date of revision:|
|Publication status:||Published in Review of Economics and Statistics, 2004, pages 946-958.|
|Contact details of provider:|| Postal: Sveriges Riksbank, SE-103 37 Stockholm, Sweden|
Phone: 08 - 787 00 00
Fax: 08-21 05 31
Web page: http://www.riksbank.com/
More information through EDIRC
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.:
- Douglas Gale & Martin Hellwig, 1985. "Incentive-Compatible Debt Contracts: The One-Period Problem," Review of Economic Studies, Oxford University Press, vol. 52(4), pages 647-663.
- Jacobson, Tor & Roszbach, Kasper, 1998.
"Bank Lending Policy, Credit Scoring and Value at Risk,"
Working Paper Series
68, Sveriges Riksbank (Central Bank of Sweden).
- Jacobson, Tor & Roszbach, Kasper, 2003. "Bank lending policy, credit scoring and value-at-risk," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 615-633, April.
- Jacobson, Tor & Roszbach, Kasper, 1998. "Bank Lending Policy, Credit Scoring and Value at Risk," SSE/EFI Working Paper Series in Economics and Finance 260, Stockholm School of Economics.
- Guillen, Montserrat & Manuel Artis, 1994.
"Count Data Models For A Credit Scoring System,"
021, Risk and Insurance Archive.
- Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
- Boyes, William J. & Hoffman, Dennis L. & Low, Stuart A., 1989. "An econometric analysis of the bank credit scoring problem," Journal of Econometrics, Elsevier, vol. 40(1), pages 3-14, January.
- Stephen D. Williamson, 1987.
"Costly Monitoring, Loan Contracts, and Equilibrium Credit Rationing,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 102(1), pages 135-145.
- Stephen D. Williamson, 1984. "Costly Monitoring, Loan Contracts and Equilibrium Credit Rationing," Working Papers 572, Queen's University, Department of Economics.
- Townsend, Robert M, 1982. "Optimal Multiperiod Contracts and the Gain from Enduring Relationships under Private Information," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1166-86, December.
- Carling, Kenneth & Jacobson, Tor & Roszbach, Kasper, 2001. "Dormancy risk and expected profits of consumer loans," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 717-739, April.
- Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-24, January.
When requesting a correction, please mention this item's handle: RePEc:hhs:rbnkwp:0154. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lena Löfgren)
If references are entirely missing, you can add them using this form.