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HYBRID GARCH Models and Intra-Daily Return Periodicity

Author

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  • Chen Xilong

    (SAS Institute)

  • Ghysels Eric

    (The University of North Carolina at Chapel Hill)

  • Wang Fangfang

    (University of Illinois at Chicago)

Abstract

We use the HYBRID GARCH model of Chen, Ghysels, and Wang (2009) to predict future volatility at daily horizons using intra-daily returns. The latter requires us to address intra-daily periodic patterns. We propose two approaches and compare their relative merits. The first approach uses raw intra-daily data--with the HYBRID process capturing the intra-daily periodic patterns--whereas the second approach involves pre-adjusted intra-daily returns. We find that the former approach dominates both in-sample and out-of-sample, although for different HYBRID GARCH model specifications.

Suggested Citation

  • Chen Xilong & Ghysels Eric & Wang Fangfang, 2011. "HYBRID GARCH Models and Intra-Daily Return Periodicity," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-28, February.
    • Handle: RePEc:bpj:jtsmet:v:3:y:2011:i:1:n:11
    DOI: 10.2202/1941-1928.1095
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    References listed on IDEAS

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    4. Barigozzi, Matteo & Brownlees, Christian & Gallo, Giampiero M. & Veredas, David, 2014. "Disentangling systematic and idiosyncratic dynamics in panels of volatility measures," Journal of Econometrics, Elsevier, vol. 182(2), pages 364-384.
    5. Christoffersen, Peter & Feunou, Bruno & Jacobs, Kris & Meddahi, Nour, 2014. "The Economic Value of Realized Volatility: Using High-Frequency Returns for Option Valuation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 663-697, June.
    6. Dhaene, Geert & Wu, Jianbin, 2020. "Incorporating overnight and intraday returns into multivariate GARCH volatility models," Journal of Econometrics, Elsevier, vol. 217(2), pages 471-495.
    7. Kwaku Boafo Baidoo, 2022. "Time-Varying Effect of Short Selling on Market Volatility During Crisis: Evidence from COVID-19 and War in Ukraine," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 8(2), pages 233-243.
    8. Xu, Yanyan & Liu, Jing & Ma, Feng & Chu, Jielei, 2024. "Liquidity and realized volatility prediction in Chinese stock market: A time-varying transitional dynamic perspective," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 543-560.

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