insignificant, whilst the degree of persistence increases …

This paper examines long memory volatility in the cross-section of stock returns. We show that long memory volatility … capitalization, book-to-market ratio, prior performance and price jumps. Long memory volatility is negatively priced in the cross …-section. Buying stocks with shorter memory and selling stocks with longer memory in volatility generates significant excess returns of …

breaks) in the volatility of financial time series. Comparative study of three techniques: ICSS, NPCPM and Cheng's algorithm … breaks in volatility, while Cheng's technique works well only when a single break occurs. …

data ; long memory ; volatility persistence ; structural breaks …

. -- High frequency data ; long memory ; volatility persistence ; structural breaks …

estimation windows. It develops theoretical results for random walks when their drift and/or volatility are subject to one or …This paper considers forecast averaging when the same model is used but estimation is carried out over different … more structural breaks. It is shown that compared to using forecasts based on a single estimation window, averaging over …

estimation windows. It develops theoretical results for random walks when their drift and/or volatility are subject to one or …This paper considers forecast averaging when the same model is used but estimation is carried out over different … more structural breaks. It is shown that compared to using forecasts based on a single estimation window, averaging over …

volatility property and the structural break appear to be the common intrigue features of the exchange rates in the two periods … by using the FIGARCH model. In particular, the long memory volatility properties in the two periods are found to be …-FIGARCH model to consider the long memory volatility property and the structural breaks jointly. The main finding is that the …