The one-trading-day-ahead forecast errors of intra-day realized volatility
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DOI: 10.1016/j.ribaf.2017.07.067
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- Degiannakis, Stavros, 2016. "The one-trading-day-ahead forecast errors of intra-day realized volatility," MPRA Paper 80163, University Library of Munich, Germany.
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Citations
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Cited by:
- Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2022.
"A moving average heterogeneous autoregressive model for forecasting the realized volatility of the US stock market: Evidence from over a century of data,"
International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 384-400, January.
- 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.
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More about this item
Keywords
ARFIMA model; HAR model; Intra-day data; Predictive ability; Realized volatility; Ultra-high frequency modelling;All these keywords.
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
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