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Model-Based Stress Tests: Linking Stress Tests to VaR for Market Risk

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Author Info

  • Carol Alexander

    ()
    (ICMA Centre, University of Reading)

  • Elizabeth Sheedy

    (Macquarie Applied Finance Centre, Macquarie University, Sydney)

Abstract

Under the new capital accord stress tests are to be included in market risk regulatory capital calculations. This development necessitates a coherent and objective framework for stress testing portfolios exposed to market risk. Following recent criticism of stress testing methods our tests are conducted in the context of risk models, building on the VaR literature. First, to identify the most suitable risk models for stress testing, we apply an extensive back testing procedure that focuses on extreme market movements. We consider eight possible risk models including both conditional and unconditional models and four possible return distributions (normal, Student’s t, empirical and normal mixture) applied to three heavily traded currency pairs using a sample of daily data spanning more than 20 years. Finding that risk models accommodating both volatility clustering and heavy tails are the most accurate predictors of extreme returns, we develop a corresponding model-based stress testing methodology. Our results are compared with traditional stress tests and we assess the implications for capital adequacy. On the basis of our results we conclude that the new recommendations for market risk regulatory capital calculation will have little impact on current levels of foreign exchange regulatory capital.

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Bibliographic Info

Paper provided by Henley Business School, Reading University in its series ICMA Centre Discussion Papers in Finance with number icma-dp2007-02.

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Length: 36 pages
Date of creation: Apr 2007
Date of revision:
Handle: RePEc:rdg:icmadp:icma-dp2007-02

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Related research

Keywords: Value-at-risk models; stress testing; market risk; exhange rates; GARCH;

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Cited by:
  1. Allan Brace & Mark Lauer & Milo Rado, 2008. "A Stylised Model for Extreme Shocks: Four Moments of the Apocalypse," Research Paper Series 224, Quantitative Finance Research Centre, University of Technology, Sydney.
  2. Ali, Asghar & Daly, Kevin, 2010. "Macroeconomic determinants of credit risk: Recent evidence from a cross country study," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 165-171, June.

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