Heinen, Florian; Sibbertsen, Philipp; Kruse, Robinson - School of Economics and Management, University of Aarhus - 2009
We consider the problem of forecasting time series with long memory when the memory parameter is subject to a structural break. By means of a large-scale Monte Carlo study we show that ignoring such a change in persistence leads to substantially reduced forecasting precision. The strength of...