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Portfolio Risk and Dependence Modeling

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  • Arsalan Azamighaimasi

Abstract

This paper has considered portfolio credit risk with a focus on two approaches, the factor model, and copula model. We have reviewed two models with emphasis on the joint default probably. The copula function describes the dependence structure of a multivariate random variable, in this paper, it used as a practical to simulation of generate portfolio with different copula, and we only used Gaussian and t¨Ccopula case. We generated portfolio default distributions and studied the sensitivity of commonly used risk measures with respect to the approach in modeling the dependence structure of the portfolio.

Suggested Citation

  • Arsalan Azamighaimasi, 2013. "Portfolio Risk and Dependence Modeling," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 4(1), pages 151-158, January.
    • Handle: RePEc:jfr:ijfr11:v:4:y:2013:i:1:p:151-158
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    References listed on IDEAS

    as
    1. Mark Carey, 2001. "Dimensions of Credit Risk and Their Relationship to Economic Capital Requirements," NBER Chapters, in: Prudential Supervision: What Works and What Doesn't, pages 197-232, National Bureau of Economic Research, Inc.
    2. anonymous, 2001. "Guidance on risk management of leveraged financing," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Jun, pages 413-414.
    3. Gordy, Michael B., 2000. "A comparative anatomy of credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 119-149, January.
    4. Pamela Nickell & William Perraudin & Simone Varotto, 2001. "Ratings versus equity-based credit risk modelling: an empirical analysis," Bank of England working papers 132, Bank of England.
    5. 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.
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