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Confidence Intervals for Asset Correlations in the Asymptotic Single Risk Factor Model

In: Operations Research Proceedings 2010

Author

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  • Steffi Höse

    (Technische Universität Dresden)

  • Stefan Huschens

    (Technische Universität Dresden)

Abstract

The asymptotic single risk factor (ASRF) model, which has become a standard credit portfolio model in the banking industry, is parameterized by default probabilities and asset (return) correlations. In this model, individual and simultaneous confidence intervals for asset correlations are developed on the basis of observed default rates. Since the length of these confidence intervals depends on the confidence level chosen, they can be used to define stress scenarios for asset correlations.

Suggested Citation

  • Steffi Höse & Stefan Huschens, 2011. "Confidence Intervals for Asset Correlations in the Asymptotic Single Risk Factor Model," Operations Research Proceedings, in: Bo Hu & Karl Morasch & Stefan Pickl & Markus Siegle (ed.), Operations Research Proceedings 2010, pages 111-116, Springer.
    • Handle: RePEc:spr:oprchp:978-3-642-20009-0_18
    DOI: 10.1007/978-3-642-20009-0_18
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    References listed on IDEAS

    as
    1. Daniel Roesch & Harald Scheule, 2007. "Stress-testing credit risk parameters: An application to retail loan portfolios," Published Paper Series 2007-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Katja Pluto & Dirk Tasche, 2006. "Estimating Probabilities of Default for Low Default Portfolios," Springer Books, in: Bernd Engelmann & Robert Rauhmeier (ed.), The Basel II Risk Parameters, chapter 0, pages 79-103, Springer.
    3. McNeil, Alexander J. & Wendin, Jonathan P., 2007. "Bayesian inference for generalized linear mixed models of portfolio credit risk," Journal of Empirical Finance, Elsevier, vol. 14(2), pages 131-149, March.
    4. Gordy, Michael B., 2003. "A risk-factor model foundation for ratings-based bank capital rules," Journal of Financial Intermediation, Elsevier, vol. 12(3), pages 199-232, July.
    5. Hanson, Samuel & Schuermann, Til, 2006. "Confidence intervals for probabilities of default," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2281-2301, August.
    6. repec:uts:ppaper:v:1:y:2007:i:1:p:55-75 is not listed on IDEAS
    7. Bernd Engelmann & Robert Rauhmeier (ed.), 2006. "The Basel II Risk Parameters," Springer Books, Springer, number 978-3-540-33087-5, November.
    8. Gordy, Michael B., 2000. "A comparative anatomy of credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 119-149, January.
    9. Düllmann, Klaus & Trapp, Monika, 2004. "Systematic Risk in Recovery Rates: An Empirical Analysis of US Corporate Credit Exposures," Discussion Paper Series 2: Banking and Financial Studies 2004,02, Deutsche Bundesbank.
    10. Christensen, Jens H.E. & Hansen, Ernst & Lando, David, 2004. "Confidence sets for continuous-time rating transition probabilities," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2575-2602, November.
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    Cited by:

    1. Michael C. S. Wong & Ho Ming Ho, 2023. "A Framework for Integrating Extreme Weather Risk, Probability of Default, and Loss Given Default for Residential Mortgage Loans," Sustainability, MDPI, vol. 15(15), pages 1, August.

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