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Credit Scoring and Loan Default

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  • Rajdeep Sengupta
  • Geetesh Bhardwaj

Abstract

A metric of credit score performance is developed to study the usage and performance of credit scoring in the loan origination process. We examine the performance of origination FICO scores as measures of ex ante borrower creditworthiness using loan-level data on ex post performance of subprime mortgages. Parametric and nonparametric estimates of credit score performance reveal different trends, especially on originations with low credit scores. The data suggest a trend of increased emphasis on higher credit scores accompanying a trend of increased riskiness in other origination attributes. Over time, this increased emphasis on credit scoring coincided with deterioration in FICO performance largely because of the fact that higher credit score originations of later cohorts were more likely to have riskier attributes. However, controlling for other attributes on originations and changes in economic conditions, we find that, as measures of borrower ranking, FICO performance on subprime loans over the years remains fairly stable.

Suggested Citation

  • Rajdeep Sengupta & Geetesh Bhardwaj, 2015. "Credit Scoring and Loan Default," International Review of Finance, International Review of Finance Ltd., vol. 15(2), pages 139-167, June.
  • Handle: RePEc:bla:irvfin:v:15:y:2015:i:2:p:139-167
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    File URL: http://hdl.handle.net/10.1111/irfi.12048
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    References listed on IDEAS

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    5. Chandrasekhar Valluri & Sudhakar Raju & Vivek H. Patil, 2022. "Customer determinants of used auto loan churn: comparing predictive performance using machine learning techniques," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 279-296, September.
    6. David Pla-Santamaria & Mila Bravo & Javier Reig-Mullor & Francisco Salas-Molina, 2021. "A multicriteria approach to manage credit risk under strict uncertainty," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 494-523, July.

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