Improving daily Value-at-Risk forecasts: The relevance of short-run volatility for regulatory quality assessment

A simulation study and an analysis of daily market prices suggest that short- and mid-run information components cover the relevant information that is necessary for estimating adequate daily VaR. Excluding long-run information components reduces daily VaR forecasts by (up to) 4% and does not impact the quality of regulatory back-testing.