Is there Any Dependence Between Consumer Credit Line Utilization and Default Probability on a Term Loan? Evidence from Bank-Level Data
Whereas recent studies on revolving lines of credit suggest a positive relationship between exposure at default and default probability on the line, this paper considers the relationship between two financial instruments through the simultaneous analysis of credit line utilization and default probability on a personal loan. We model both financial instruments endogenously in a simultaneous equation system and find strong evidence of a positive relationship between the two instruments. Individuals in the default state use their credit line 59% more than those in the non-default state, and full utilization of the credit line increases the default probability on the loan by 46% when compared with non-utilization. Our results suggest that banks should manage both financial instruments simultaneously.
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- John Y. Campbell, 2006.
Journal of Finance,
American Finance Association, vol. 61(4), pages 1553-1604, 08.
- Shubhasis Dey, 2005. "Lines of Credit and Consumption Smoothing: The Choice between Credit Cards and Home Equity Lines of Credit," Staff Working Papers 05-18, Bank of Canada.
- Cambpbell, John Y. & Jackson, Howell Edmunds & Madrian, Brigitte & Tufano, Peter, 2010.
"The Regulation of Consumer Financial Products: An Introductory Essay with Four Case Studies,"
4450128, Harvard Kennedy School of Government.
- Campbell, John Y. & Jackson, Howell E. & Madrian, Brigitte C. & Tufano, Peter, 2010. "The Regulation of Consumer Financial Products: An Introductory Essay with Four Case Studies," Working Paper Series rwp10-040, Harvard University, John F. Kennedy School of Government.
- Agarwal, Sumit & Ambrose, Brent W. & Chomsisengphet, Souphala & Liu, Chunlin, 2006. "An empirical analysis of home equity loan and line performance," Journal of Financial Intermediation, Elsevier, vol. 15(4), pages 444-469, October.
- Newey, Whitney K., 1987. "Efficient estimation of limited dependent variable models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 36(3), pages 231-250, November.
- Sumit Agarwal & Souphala Chomsisengphet & John C. Driscoll, 2004. "Loan commitments and private firms," Finance and Economics Discussion Series 2004-27, Board of Governors of the Federal Reserve System (U.S.).
- Amir Sufi, 2009. "Bank Lines of Credit in Corporate Finance: An Empirical Analysis," Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1057-1088, March.
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