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-GARCH models in terms of in-sample fit, out-of-sample fit, and forecasting accuracy compared to classical and Realized GARCH models …
Persistent link: https://www.econbiz.de/10013029008
This Appendix contains details on several technical points and additional empirical results. Sections in this Appendix are indexed by letters and formulas/tables/figures by a letter followed by a number (e.g. A.1). Sections and formulas/tables/figures of the paper are referenced by numbers. In...
Persistent link: https://www.econbiz.de/10012956778
We present an estimation and forecasting method, based on a differential evolution MCMC method, for inference in GARCH … nearly all series. Finally, we carry out a forecasting exercise to evaluate the usefulness of structural break models …
Persistent link: https://www.econbiz.de/10012956780
, but the presence of the volatility effect does not improve the forecasting performance of the extended models.Appendix is …
Persistent link: https://www.econbiz.de/10012956782
. The out-of-sample forecasting performance of the proposed model is evaluated against a number of standard models, using …
Persistent link: https://www.econbiz.de/10012863889
This paper proposes a novel decomposition of realized volatility (RV) into moderate and extreme realized volatility estimates. These estimates behave like long and short term components of volatility, and are very different from either realized semi-variance or the continuous and jump components...
Persistent link: https://www.econbiz.de/10012864091
of our proposed factor-augmented forecasting models result in substantial predictive gains, as measured by out …-of-sample R squared, and via the application of predictive accuracy tests. In particular, forecasting gains are observed at …
Persistent link: https://www.econbiz.de/10012864374
Persistent link: https://www.econbiz.de/10012864376
This paper introduces composite absolute value and sign (CAVS) forecasts, a nonlinear framework that combines forecasts of the sign and absolute value of a time series into conditional mean forecasts. In contrast to linear models, the proposed framework allows different predictors to separately...
Persistent link: https://www.econbiz.de/10013249986
This paper proposes a Near Explosive Random-Coefficient autoregressive model for asset pricing which accommodates both the fundamental asset value and the recurrent presence of autonomous deviations or bubbles. Such a process can be stationary with or without fat tails, unit-root nonstationary...
Persistent link: https://www.econbiz.de/10012973901