Forecasting Value-at-Risk Using High-Frequency Information


in the prediction of quantiles of daily Standard & Poor’s 500 (S&P 500) returns we consider how to use high-frequency 5-minute data. We examine methods that incorporate the high frequency information either indirectly, through combining forecasts (using forecasts generated from returns sampled at different intraday interval), or directly, through combining… (More)


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