Structural models in consumer credit
Abstract
We propose a structural credit risk model for consumer lending using option theory and the concept of the value of the consumerâs reputation. Using Brazilian empirical data and a credit bureau score as proxy for creditworthiness we compare a number of alternative models before suggesting one that leads to a simple analytical solution for the probability of default. We apply the proposed model to portfolios of consumer loans introducing a factor to account for the mean influence of systemic economic factors on individuals. This results in a hybrid structural-reduced-form model. And comparisons are made with the Basel II approach. Our conclusions partially support that approach for modelling the credit risk of portfolios of retail credit.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by Elsevier in its journal European Journal of Operational Research.
Volume (Year): 183 (2007)
Issue (Month): 3 (December)
Pages: 1569-1581
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Handle: RePEc:eee:ejores:v:183:y:2007:i:3:p:1569-1581
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For corrections or technical questions regarding this item, or to correct its listing, contact: (Jeroen Loos).
Related research
Keywords:Other versions of this item:
- Fabio de Andrade & Lyn Thomas, 2004. "Structural Models In Consumer Credit," Risk and Insurance 0407001, EconWPA.
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Mortgages
- G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
References
References listed on IDEASPlease 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.:
- Avery, Robert B. & Calem, Paul S. & Canner, Glenn B., 2004. "Consumer credit scoring: Do situational circumstances matter?," Journal of Banking & Finance, Elsevier, vol. 28(4), pages 835-856, April.
- Robert B. Avery & Paul S. Calem & Glenn B. Canner, 2004. "Consumer credit scoring: do situational circumstances matter?," BIS Working Papers 146, Bank for International Settlements.
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- Roberto Perli & William I. Nayda, 2003.
"Economic and regulatory capital allocation for revolving retail exposures,"
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2003-39, Board of Governors of the Federal Reserve System (U.S.).
- Perli, Roberto & Nayda, William I., 2004. "Economic and regulatory capital allocation for revolving retail exposures," Journal of Banking & Finance, Elsevier, vol. 28(4), pages 789-809, April.
- Duffie, Darrell & Singleton, Kenneth J, 1999. "Modeling Term Structures of Defaultable Bonds," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 12(4), pages 687-720.
- Chunsheng Zhou, 1997. "A jump-diffusion approach to modeling credit risk and valuing defaultable securities," Finance and Economics Discussion Series 1997-15, Board of Governors of the Federal Reserve System (U.S.).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Luis H. R. Alvarez & Jani Sainio, 2010. "A Loan Portfolio Model Subject to Random Liabilities and Systemic Jump Risk," Quantitative Finance Papers 1006.0863, arXiv.org.
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