Value at Risk (VaR) is the maximum loss not exceeded with a given confidence level alpha over a given period of time tau. Formally, VaR is given by the largest number r such that the return x smaller than r is no larger than (1-alpha), obviously, VaR is thus simply a quantile of the return distribution. After computing VaR values, the next step is to judge the performance of the models applied.
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How to Do VaR Backtesting
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