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Time-frequency higher-order moment Co-movement and connectedness between Chinese stock and commodity markets

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  • Zhu, Huiming
  • Xia, Xiling
  • Hau, Liya
  • Zeng, Tian
  • Deng, Xi

Abstract

This study examines the higher-order moment co-movement and connectedness between China's stock and commodity markets across time and frequency domains. We propose wavelet decomposition to develop a multiscale time-varying parameter vector autoregression (TVP-VAR) approach for measuring higher-order moment connectedness. Our empirical findings are as follows: First, the co-movement of stock-commodity varies over time and across different frequencies, exhibiting heterogeneity at different moments. Stocks demonstrate robust co-movement with commodities over the medium- and long-term periods. Second, higher-order moment connectedness is stronger than return connectedness, whereas weaker than volatility connectedness. Finally, higher-order moment connectedness is highly event-dependent, peaking at COVID-19 onset. And long-run factors have the greatest effect on dynamic moment connectedness.

Suggested Citation

  • Zhu, Huiming & Xia, Xiling & Hau, Liya & Zeng, Tian & Deng, Xi, 2024. "Time-frequency higher-order moment Co-movement and connectedness between Chinese stock and commodity markets," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    • Handle: RePEc:eee:reveco:v:96:y:2024:i:pa:s1059056024005720
    DOI: 10.1016/j.iref.2024.103580
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    Keywords

    Time-frequency co-movement; Connectedness; Higher-order moment; Stock-commodity; China;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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