Long Memory in VIX Futures Volatility
This study provides empirical evidence for long memory in the volatility process of VIX futures returns and investigates the practical importance of modelling it when calculating Value-at-Risk (VaR) for VIX futures and pricing VIX options. The analysis is performed using the GARCH, APARCH, FIGARCH and FIAPARCH models with the normal and skewed Student-t distributions. The VaR analysis shows that t
