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...

Linguistics research shows that languages differ as to how they differentiate future from present events. Economics research finds that when the grammatical structure of a language disassociates the future from the present, speakers of the language also disassociate the future from the present...

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...