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- W1968904637 abstract "This study investigates how specification of return distribution for REIT influences the performance of volatility forecasting using three GARCH models (GARCH-N, GARCH-ST and GARCH-SGED). Daily prices on the REIT provide an empirical sample for discussing and comparing relative ability to accurately out-of-sample volatility, given the growth potential of REIT markets in the United State from the perspective of global investors. Empirical results indicate that the GARCH-SGED model is superior to the GARCH-N and GARCH-ST model in forecasting REIT volatility in the United State, for all forecast horizons in which model selection is based on MSE or MAE. Meanwhile, the DM-tests further confirm that volatility forecasts using the GARCH-SGED model are more accurate than those generated using the GARCH-N and GARCH-ST model in all cases. These findings demonstrate the significant influences of both skewness and tail-thickness on the conditional distribution of returns." @default.
- W1968904637 created "2016-06-24" @default.
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- W1968904637 date "2010-07-01" @default.
- W1968904637 modified "2023-09-30" @default.
- W1968904637 title "REIT volatility prediction for skew-GED distribution of the GARCH model" @default.
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- W1968904637 doi "https://doi.org/10.1016/j.eswa.2009.11.044" @default.
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