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VaR-x: Fat Tails in Financial Risk Management

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Author Info
Huisman, R.
Koedijik, K.G.
Pownall, R.A.J.

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Abstract

To ensure a competent regulatory framework with respect to Value-at-Risk for Establishing Bank's capital adequacy requirements, as promoted by the Basle Committee, then the parametrical approach to estimate VaR needs to incorporte fat tails, apparent in the return distributions of financial assets. This paper provides a simple method to obtain accurate parametric VaR-x mesures, by including a specific measure for the tail fatness of an asset's return distribution.

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Publisher Info
Paper provided by Southern California - School of Business Administration in its series Papers with number 98-54.

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Length: 25 pages
Date of creation: 1998
Date of revision:
Handle: RePEc:fth:socabu:98-54

Contact details of provider:
Postal: University of Southern California, School of BusinessAdministration, Los Angeles, CA 90089-1421.
Web page: http://www.marshall.usc.edu/
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Related research
Keywords: RISK ; MANAGEMENT ; FINANCIAL MARKET;

Find related papers by JEL classification:
D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies

Cited by:
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  1. Niklas Wagner & Terry Marsh, 2003. "Measuring Tail Thickness under GARCH and an Application to Extremal Exchange Rate Changes," Research Program in Finance, Working Paper Series 1012, Research Program in Finance, Institute for Business and Economic Research, UC Berkeley. [Downloadable!]
  2. Gita Persand & Chris Brooks, 2003. "Volatility forecasting for risk management," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(1), pages 1-22. [Downloadable!]
  3. Rachel Campbell & Catherine S. Forbes & Kees Koedijk & Paul Kofman, 2003. "Diversification Meltdown or the Impact of Fat tails on Conditional Correlation?," Monash Econometrics and Business Statistics Working Papers 18/03, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
  4. Gonzalo Cortazar & Alejandro Bernales & Diether Beuermann, 2005. "Methodology and Implementation of Value-at-Risk Measures in Emerging Fixed-Income Markets with Infrequent Trading," Finance 0512030, EconWPA. [Downloadable!]
  5. Campbell-Pownall, R.A.J. & Huisman, R., 2002. "Measuring Credit Spread Risk," Research Paper ERS-2002-95-F&A Revision_, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  6. Longin, François, 1999. "From Value at Risk to Stress Testing: The Extreme Value Approach," CEPR Discussion Papers 2161, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
Statistics
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