We propose a new family of easy-to-implement realized volatility based forecasting models. The models exploit the …

This paper considers the performance of different long-memory dynamic models when forecasting volatility in the stock … noise. A comparison between a class of HAR- and ARFIMA models is facilitated on the basis of out-of-sample forecasting …