Beginning in 1998, U.S. commercial banks with significant trading activities must hold capital against their defined market risk exposure. Under the current regulatory guidelines, this capital charge is a function of banks' own value-at-risk (VaR) estimates. Two hypothesis-testing methods for evaluating VaR estimates have been proposed; namely, the binomial and the interval forecast methods. As shown in a simulation exercise, the tests generally have low power and thus are prone to misclassifying inaccurate VaR estimates as "acceptably accurate". An alternative evaluation method, based on loss functions that capture specific regulatory concerns, is proposed. Simulation results indicate that this method is capable of distinguishing between VaR estimates generated by accurate and alternative VaR models. The additional information provided by this method, as well as its flexibility with respect to the specification of the loss function, make a reasonable case for its use in the regulatory evaluation of VaR estimates.
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Paper provided by Federal Reserve Bank of New York in its series Research Paper with number
9802.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, .
"Evaluating Density Forecasts,"
CARESS Working Papres
97-18, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
[Downloadable!]
Christoffersen, Peter F, 1998.
"Evaluating Interval Forecasts,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 841-62, November.
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