Extreme risks associated with extraordinary market conditions are catastrophic for all investors. The ongoing financial crisis has perfectly exemplified this point. Surprisingly there are few studies exploring this issue for REITs. This study aims to close the knowledge gap. We conduct a...

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...