All previously mentioned papers compared their VaR estimateswith the results obtained by assuming skewed and fat-tail distri-butions with constant asymmetric and kurtosis parameters. Theyfound that the accuracy of the VaR estimates improved when time-varying asymmetric and kurtosis parameters are considered. Thesestudies suggest that within the context of the Parametric method,techniques that model the dynamic performance of the high-orderconditional moments (asymmetry and kurtosis) provide betterresults than those considering functions with constant high-ordermoments.