Multiple Days Ahead Realized Volatility Forecasting: Single, Combined and Average Forecasts
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- Degiannakis, Stavros, 2018. "Multiple days ahead realized volatility forecasting: Single, combined and average forecasts," Global Finance Journal, Elsevier, vol. 36(C), pages 41-61.
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Cited by:
- Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2019. "A Moving Average Heterogeneous Autoregressive Model for Forecasting the Realized Volatility of the US Stock Market: Evidence from Over a Century of Data," Working Papers 201978, University of Pretoria, Department of Economics.
More about this item
Keywords
averaging forecasts; combining forecasts; heterogeneous autoregressive; intra-day data; long memory; model confidence set; predictive ability; realized volatility; ultra-high frequency;JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2019-10-14 (Forecasting)
- NEP-MST-2019-10-14 (Market Microstructure)
- NEP-ORE-2019-10-14 (Operations Research)
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