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Modelling Extreme Market Events. A Report of the Benchmarking Stochastic Models Working Party

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Listed:
  • Frankland, R.
  • Smith, A. D.
  • Wilkins, T.
  • Varnell, E.
  • Holtham, A.
  • Biffis, E.
  • Eshun, S.
  • Dullaway, D.

Abstract

This paper focusses on some practical issues that can arise when developing methodologies for calculating benchmark figures for extreme market events, particularly in the context of the Financial Services Authority's ICAS regime. The paper limits discussion to equity and interest rate risks. Whilst not intended to constitute formal guidance, it is hoped that the material contained within the paper will be useful to practitioners. The paper acknowledges the role of prior beliefs in the choice of data to be used for modelling and its influence upon the ensuing results.

Suggested Citation

  • Frankland, R. & Smith, A. D. & Wilkins, T. & Varnell, E. & Holtham, A. & Biffis, E. & Eshun, S. & Dullaway, D., 2009. "Modelling Extreme Market Events. A Report of the Benchmarking Stochastic Models Working Party," British Actuarial Journal, Cambridge University Press, vol. 15(1), pages 99-201, March.
    • Handle: RePEc:cup:bracjl:v:15:y:2009:i:01:p:99-201_00
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    Cited by:

    1. James Sharpe & Nick Fieller, 2016. "Uncertainty in functional principal component analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(12), pages 2295-2309, September.
    2. Hanwool Jang & Yena Song & Sungbin Sohn & Kwangwon Ahn, 2018. "Real Estate Soars and Financial Crises: Recent Stories," Sustainability, MDPI, vol. 10(12), pages 1-12, December.

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