This study compares the relative performance of several well-known models in the forecasting of REIT volatility. Overall our results suggest that long-memory models (ARFIMA & FIGARCH) provide the best forecasts. Using either a large sample or some statistically justified small subsamples, we...

Purpose - The purpose of this paper is to test whether financial analysts' rationality in making stocks' earnings forecasts is homogenous or not across different information regimes in stocks' past returns. Design/methodology/approach - By treating stocks' past returns as the information...