This study proposes a procedure for using a generalized error distribution (GED) model in conjunction with historical simulation when computing Value-at-Risk (VaR). We collected data from the New York Samp;P 500, the London Times FTSE 100 and the Frankfurt Index to evaluate the VaR approaches....