Forecasting stock market volatility using Realized GARCH model: International evidence

Citations

Cited by:

1. Thushari N. Vidanage & Fabrizio Carmignani & Tarlok Singh, 2017. "Predictability of Return Volatility Across Different Emerging Capital Markets: Evidence from Asia," South Asian Journal of Macroeconomics and Public Finance, , vol. 6(2), pages 157-177, December.
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6. Xie, Haibin & Qi, Nan & Wang, Shouyang, 2019. "A new variant of RealGARCH for volatility modeling," Finance Research Letters, Elsevier, vol. 28(C), pages 438-443.
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8. Hung, Jui-Cheng & Liu, Hung-Chun & Jimmy Yang, J., 2024. "The economic value of Bitcoin: A volatility timing perspective with portfolio rebalancing," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
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   • 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.
10. Guglielmo Maria Caporale & Luis A. Gil-Alana & Miguel Martin-Valmayor, 2020. "Persistence in the Realized Betas: Some Evidence for the Spanish Stock Market," CESifo Working Paper Series 8171, CESifo.
11. Jui‐Cheng Hung & Hung‐Chun Liu & J. Jimmy Yang, 2023. "Does the tail risk index matter in forecasting downside risk?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3451-3466, July.
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16. Yen-Sheng Lee, 2022. "Representative Bias and Pairs Trade: Evidence From S&P 500 and Russell 2000 Indexes," SAGE Open, , vol. 12(3), pages 21582440221, August.
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21. Beatriz Vaz de Melo Mendes & Victor Bello Accioly, 2017. "Improving (E)GARCH forecasts with robust realized range measures: Evidence from international markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(4), pages 631-658, October.
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