Exposure at Default Model for Contingent Credit Line
In-spite of large volume of Contingent Credit Lines (CCL) in all commercial banks paucity of Exposure at Default (EAD) models, unsuitability of external data and inconsistent internal data with partial draw-down, has been a major challenge for risk managers as well as regulators for managing CCL portfolios. Current paper is an attempt to build an easy to implement, pragmatic and parsimonious yet accurate model to determine exposure distribution of a CCL portfolio. Each of the credit line in a portfolio is modeled as a portfolio of large number of option instrument which can be exercised by the borrower determining the level of usage. Using an algorithm similar to basic CreditRisk+ and Fourier Transforms we arrive at a portfolio level probability distribution of usage.
|Date of creation:||01 Apr 2010|
|Date of revision:|
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- Gabriel Jiménez & Jose A. Lopez & Jesus Saurina, 2009.
"Empirical Analysis of Corporate Credit Lines,"
Review of Financial Studies,
Society for Financial Studies, vol. 22(12), pages 5069-5098, December.
- Gabriel Jiménez & Jose A. Lopez & Jesús Saurina, 2007. "Empirical analysis of corporate credit lines," Working Paper Series 2007-14, Federal Reserve Bank of San Francisco.
- Gabriel Jiménez & José A. López & Jesús Saurina, 2008. "Empirical analysis of corporate credit lines," Working Papers 0821, Banco de España;Working Papers Homepage.
- 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.
- Maksimovic, Vojislav, 1990. " Product Market Imperfections and Loan Commitments," Journal of Finance, American Finance Association, vol. 45(5), pages 1641-53, December.
- Michael B. Gordy, 1998.
"A comparative anatomy of credit risk models,"
Finance and Economics Discussion Series
1998-47, Board of Governors of the Federal Reserve System (U.S.).
- Anjan V. Thakor & Gregory F. Udell, 2004.
"An Economic Rationale for the Pricing Structure of Bank Loan Commitments,"
- Thakor, Anjan V. & Udell, Gregory F., 1987. "An economic rationale for the pricing structure of bank loan commitments," Journal of Banking & Finance, Elsevier, vol. 11(2), pages 271-289, June.
- O. Emre Ergungor, 2001. "Theories of loan commitments: a literature review," Economic Review, Federal Reserve Bank of Cleveland, issue Q III, pages 2-19.
- Crouhy, Michel & Galai, Dan & Mark, Robert, 2000. "A comparative analysis of current credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 59-117, January.
- Evan Gatev & Philip E. Strahan, 2006. "Banks' Advantage in Hedging Liquidity Risk: Theory and Evidence from the Commercial Paper Market," Journal of Finance, American Finance Association, vol. 61(2), pages 867-892, 04.
- Agarwal, Sumit & Ambrose, Brent W. & Liu, Chunlin, 2006. "Credit Lines and Credit Utilization," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(1), pages 1-22, February.
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