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Dynamic Multi-Factor Credit Risk Model with Fat-Tailed Factors

Author

Abstract
The authors introduce an improved multi-factor credit risk model describing simultaneously the default rate and the loss given default. Their methodology is based on the KMV model, which they generalize in three ways. First, they add a model for loss given default (LGD), second, they bring dynamics to the model, and third, they allow non-normal distributions of risk factors. Both the defaults and the LGD are driven by a common factor and an individual factor; the individual factors are mutually independent, but the authors allow any form of dependence of the common factors. They test their model on a nationwide portfolio of US mortgage delinquencies, modeling the dependence of the common factor by a VECM model, and compare their results with the current regulatory framework, which is described in the Basel II Accord.

Suggested Citation

  • Petr Gapko & Martin Smid, 2012. "Dynamic Multi-Factor Credit Risk Model with Fat-Tailed Factors," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(2), pages 125-140, May.
    • Handle: RePEc:fau:fauart:v:62:y:2012:i:2:p:125-140
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    References listed on IDEAS

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    1. Andrea Cipollini & Giuseppe Missaglia, 2008. "Measuring bank capital requirements through Dynamic Factor analysis," Center for Economic Research (RECent) 010, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    2. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
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    4. Gordy, Michael B., 2000. "A comparative anatomy of credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 119-149, January.
    5. Jon Frye, 2000. "Collateral damage detected," Emerging Issues, Federal Reserve Bank of Chicago, issue Sep.
    6. 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.
    7. repec:czx:journl:v:18:y:2011:i:28:id:183 is not listed on IDEAS
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    Cited by:

    1. Petr Gapko & Martin Smid, 2016. "Multi-Period Structural Model of a Mortgage Portfolio with Cointegrated Factors," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(6), pages 565-574, December.
    2. Biase di Giuseppe & Guglielmo D'Amico & Jacques Janssen & Raimondo Manca, 2014. "A Duration Dependent Rating Migration Model: Real Data Application and Cost of Capital Estimation," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(3), pages 233-245, June.

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    More about this item

    Keywords

    credit risk; probability of default; loss given default; credit loss; credit loss distribution; Basel II;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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