Volatility measures and Value-at-Risk

These results are in contrast to the volatility forecasting literature, which favors implied volatilities over the historical volatility model. We show that forecasting the volatility and forecasting a quantile of the return distribution are two different objectives. While the implied volatility is useful for the earlier objective function, it is not for the latter, due to the non-linear and regime changing dynamics of the volatility risk premium.