In this paper we propose a nonlinear long-memory time series model for realized
volatility that incorporates all well-known stylized facts from the (GARCH) volatility
literature, in particular level shifts, day-of-the-week eects, leverage eects and
volatility level eects. The model, as well as several restricted versions, are estimated
for the S&P 500 index and three exchange rates.