VaR (value‐at‐risk) estimates are currently based on two main techniques: the variance‐covariance approach or simulation. Statistical and computational problems affect the reliability of these techniques. We illustrate a new technique – filtered historical simulation (FHS) – designed to remedy some of the shortcomings of the simulation approach. We compare the estimates it produces with traditional bootstrapping estimates. (J.E.L.: G19).
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Barone‐Adesi et al. (2001) studied this question.
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