Using quantile time series and historical simulation to forecast financial risk multiple steps ahead

Richard Gerlach, Antonio Naimoli, Giuseppe Storti

A method for quantile-based, semi-parametric historical simulation estimation of multiple step ahead Value-at-Risk (VaR) and Expected Shortfall (ES) models is developed. It uses th…