A Bayesian Confidence Interval for Value-at-Risk

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A Bayesian Confidence Interval for Value-at-Risk

Author Info

Contreras, P.
Satchell, S.E.

Abstract

This study assesses the accuracy of the value-at-risk estimate (VaR). On the basis of posterior distributions of the unknown population parameters, we develop a confidence interval for VaR that reflects the genuine information available about the portfolios for which the VaR is calculated. This approach is more accurate than that in Dowd (2000) as it avoids explaining the behaviour of the population parameters on the basis of distributions of sample parameters. We find that the accuracy of both the confidence interval and the VaR estimate depend more dramatically on the sample size than what Dowd’s results suggest. In addition, we not only find that the impact of the confidence level and the holding period at which the VaR is predicated are negligible compared to that of the sample size (as in Dowd), but also that the confidence interval is far from being symmetric.

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Paper provided by Faculty of Economics, University of Cambridge in its series Cambridge Working Papers in Economics with number 0348.

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Length: 23
Date of creation: Nov 2003
Date of revision:
Handle: RePEc:cam:camdae:0348

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Find related papers by JEL classification:
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
G00 - Financial Economics - - General - - - General

This paper has been announced in the following NEP Reports:

NEP-ALL-2004-07-04 (All new papers)
NEP-ECM-2004-07-17 (Econometrics)
NEP-ETS-2004-07-04 (Econometric Time Series)
NEP-FIN-2004-07-04 (Finance)
NEP-RMG-2004-07-04 (Risk Management)

References listed on IDEAS
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Frost, Peter A. & Savarino, James E., 1986. "An Empirical Bayes Approach to Efficient Portfolio Selection," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(03), pages 293-305, September. [Downloadable!]
Peter K. Cornelius, 2000. "Trade in Financial Services, Capital Flows, and the Value-at-Risk of Countries," The World Economy, Blackwell Publishing, vol. 23(5), pages 649-672, 05. [Downloadable!] (restricted)
Karolyi, G. Andrew, 1993. "A Bayesian Approach to Modeling Stock Return Volatility for Option Valuation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(04), pages 579-594, December. [Downloadable!]
Mark Britten-Jones, 1999. "The Sampling Error in Estimates of Mean-Variance Efficient Portfolio Weights," Journal of Finance, American Finance Association, vol. 54(2), pages 655-671, 04. [Downloadable!] (restricted)

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