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Cross-market information transmission and stock market volatility prediction

Author

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  • Wang, Yide
  • Chen, Zan
  • Ji, Xiaodong

Abstract

The deep integration of global economic and financial activities accelerates the information transmission across financial markets. The cross-market information has become a crucial factor to influence the stock market fluctuation. This paper investigates the explanatory power and impacting mechanism of cross-market information flow in the prediction of Chinese stock market volatility. The empirical results show that the cross-market information flow exhibits significant linear and nonlinear influences on Chinese stock market volatility, and it also appears term-heterogeneous on the prediction accuracy, i.e., the cross-market information flow significantly contributes to medium-term and long-term prediction of Chinese stock market volatility, and the improvement of prediction accuracy is mainly due to nonlinear mechanism, whereas the cross-market information flow performs less value for short-term volatility prediction.

Suggested Citation

  • Wang, Yide & Chen, Zan & Ji, Xiaodong, 2023. "Cross-market information transmission and stock market volatility prediction," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:ecofin:v:68:y:2023:i:c:s1062940823001006
    DOI: 10.1016/j.najef.2023.101977
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    More about this item

    Keywords

    Cross-market information flow; Realized volatility; Transfer entropy; Machine learning; Linear and nonlinear Granger causality test;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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