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A survey of cyclical effects in credit risk measurement model

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  • Linda Allen

    (Zicklin School of Business, Baruch College, CUNY)

  • Anthony Saunders

    (New York University - Leonard N. Stern School of Business)

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    Abstract

    We survey both academic and proprietary models to examine how macroeconomic and systematic risk effects are incorporated into measures of credit risk exposure. Many models consider the correlation between the probability of default (PD) and cyclical factors. Few models adjust loss rates (loss given default) to reflect cyclical effects. We find that the possibility of systematic correlation between PD and LGD is also neglected in currently available models.

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    Bibliographic Info

    Paper provided by Bank for International Settlements in its series BIS Working Papers with number 126.

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    Length: 43 pages
    Date of creation: Jan 2003
    Date of revision:
    Handle: RePEc:bis:biswps:126

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    1. Mella-Barral, Pierre & Perraudin, William, 1997. " Strategic Debt Service," Journal of Finance, American Finance Association, vol. 52(2), pages 531-56, June.
    2. Jarrow, Robert A. & Turnbull, Stuart M., 2000. "The intersection of market and credit risk," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 271-299, January.
    3. Nickell, Pamela & Perraudin, William & Varotto, Simone, 2000. "Stability of rating transitions," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 203-227, January.
    4. Houweling, P. & Vorst, A.C.F., 2002. "An Empirical Comparison of Default Swap Pricing Models," Econometric Institute Research Papers ERS-2002-23-F&A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Robert A. Jarrow, 2001. "Counterparty Risk and the Pricing of Defaultable Securities," Journal of Finance, American Finance Association, vol. 56(5), pages 1765-1799, October.
    6. Jarrow, Robert A & Lando, David & Turnbull, Stuart M, 1997. "A Markov Model for the Term Structure of Credit Risk Spreads," Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 481-523.
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