Modelling financial observable-volatility using long memory models

Abstract

This article proposes a generalized long persistence observable volatility model which comprises of leverage effect autoregressive fractionally integrated moving average model with time-varying volatility and the inclusion of heterogeneous autoregressive components as the contemporaneous variables. Our empirical results found that the proposed model provides substantial improvement in the model fitting as well as specification.