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Hedge ratio on Markov regime-switching diagonal Bekk–Garch model

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  • Zhipeng, Yan
  • Shenghong, Li

Abstract

China's stock market is known with quick change and violent fluctuation in recent years. This paper develops a Markov regime switching diagonal Bekk–Garch model, enabling parameters to be state dependent upon the regime of market. The empirical results show that different states exist. The high volatility regime has a lower state probability, while the low volatility regime has a higher state probability. The likelihood value show the regime-switching diagonal Bekk–Garch model fits the sample better. Both comparisons of hedge performance in and out-of-sample indicate that a regime-switching Bekk–Garch model is the optimal hedge strategy, followed by Bekk–Garch and OLS model.

Suggested Citation

  • Zhipeng, Yan & Shenghong, Li, 2018. "Hedge ratio on Markov regime-switching diagonal Bekk–Garch model," Finance Research Letters, Elsevier, vol. 24(C), pages 49-55.
    • Handle: RePEc:eee:finlet:v:24:y:2018:i:c:p:49-55
    DOI: 10.1016/j.frl.2017.06.015
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    Cited by:

    1. Babu Jose & Nithin Jose, 2023. "Is Cross-Hedging Effective for Mitigating Equity Investment Risks in the Indian Banking Sector?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 189-210, March.

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    More about this item

    Keywords

    Stock index futures; Hedge ratio; Regime-switching; Garch models;
    All these keywords.

    JEL classification:

    • 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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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