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...

Studies suggest that when a language requires grammatical marking of future events, speakers prefer immediate payoffs and engage in less future-oriented behavior. If future costs of tax avoidance are non-trivial, we posit that strong future time reference (FTR) in languages would lower...