Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled … oflow probability worst outcomes, RiskMetrics analysis underpredicts the VaR while historical simulationoverpredicts the VaR …. However, the estimates obtained from applying the semi-parametric method aremore accurate in the VaR prediction. In addition …

Large data sets in finance with millions of observations have becomewidely available. Such data sets enable the …

. The methodology is hybrid because it combines a formaltesting procedure with volatility curve pattern recognition based …