Title of article :
ARFIMAX and ARFIMAX-TARCH realized volatility modeling
Author/Authors :
Stavros Degiannakis، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Abstract :
ARFIMAX models are applied in estimating the intra-day realized volatility of the CAC40 and DAX30
indices. Volatility clustering and asymmetry characterize the logarithmic realized volatility of both the
indices. The ARFIMAX model with time-varying conditional heteroskedasticity is the best performing
specification and, at least in the case of DAX30, provides statistically superior next trading day’s realized
volatility forecasts.
Keywords :
ARFIMAX , TARCH , Volatility forecasting , Realized volatility
Journal title :
JOURNAL OF APPLIED STATISTICS
Journal title :
JOURNAL OF APPLIED STATISTICS