This paper studies the ability of the k -factor GARMA processes to model and forecast the volatility of an intraday financial time series. Forecasting results from the k -factor GARMA model are obtained and compared with those produced by a conventional SARIMA model.

In this paper, in order to investigate if a long memory model will provide good forecasts even if the real DGP is affected by level shifts (as suggested by Diebold, F.X., Inoue, A., 2001. Long memory and regime switching Journal of Econometrics, 105, 131-159) we compare via simulations the...

In this paper, we consider the problem of robust estimation of the fractional parameter, d, in long memory autoregressive fractionally integrated moving average processes, when two types of outliers, i.e. additive and innovation, are taken into account without knowing their number, position or...