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How to Find Plausible, Severe and Useful Stress Scenarios

Author

Listed:
  • Thomas Breuer

    (Research Centre PPE, Fachhochschule Vorarlberg)

  • Martin Jandacka

    (Research Centre PPE, Fachhochschule Vorarlberg)

  • Klaus Rheinberger

    (Research Centre PPE, Fachhochschule Vorarlberg)

  • Martin Summer

    (Oesterreichische Nationalbank)

Abstract

We give a precise operational definition to three requirements the Basel Committee on Banking Supervision specifies for stress tests: plausibility and severity of stress scenarios as well as suggestiveness of risk-reducing actions. The basic idea of our approach is to define a suitable region of plausibility in terms of the risk-factor distribution and search systematically for the scenario with the worst portfolio loss over this region. One key innovation compared with the existing literature is the solution of two open problems. We suggest a measure of plausibility that is not prone to the problem of dimensional dependence of maximum loss and we derive a way to consistently deal with situations where some but not all risk factors are stressed. We show that setting the nonstressed risk factors to their conditional expected value given the value of the stressed risk factors maximizes plausibility among the various approaches used in the literature.

Suggested Citation

  • Thomas Breuer & Martin Jandacka & Klaus Rheinberger & Martin Summer, 2009. "How to Find Plausible, Severe and Useful Stress Scenarios," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 205-224, September.
  • Handle: RePEc:ijc:ijcjou:y:2009:q:3:a:7
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    References listed on IDEAS

    as
    1. Filippo di Mauro & L. Vanessa Smith & Stephane Dees & M. Hashem Pesaran, 2007. "Exploring the international linkages of the euro area: a global VAR analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 1-38.
    2. M. Hashem Pesaran & Til Schuermann & Bjorn-Jakob Treutler, 2007. "Global Business Cycles and Credit Risk," NBER Chapters,in: The Risks of Financial Institutions, pages 419-474 National Bureau of Economic Research, Inc.
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    More about this item

    JEL classification:

    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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