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Dynamic correlation and volatility spillovers across Chinese stock and commodity futures markets

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  • Sang Hoon Kang
  • Seong‐Min Yoon

Abstract

This paper examines the return links and volatility transmission between Chinese stock and commodity futures markets and draws implications for portfolio risk management. To these ends, we consider three vector autoregression‐multivariate generalized autoregressive conditional heteroskedasticity‐class models with which to model volatilities and conditional correlations between Chinese stock and three commodity futures markets. Our empirical results reveal evidence of return linkage and volatility transmission between the Chinese stock and commodity futures markets. We also analyse optimal portfolio weights and hedging ratios between s1tock–commodity pairs. Finally, we assess implications for mixed commodity–stock portfolios and find strong evidence of hedging effectiveness and downside risk reductions.

Suggested Citation

  • Sang Hoon Kang & Seong‐Min Yoon, 2020. "Dynamic correlation and volatility spillovers across Chinese stock and commodity futures markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 261-273, April.
    • Handle: RePEc:wly:ijfiec:v:25:y:2020:i:2:p:261-273
    DOI: 10.1002/ijfe.1750
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    Cited by:

    1. Ahmed, Walid M.A., 2022. "On the higher-order moment interdependence of stock and commodity markets: A wavelet coherence analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 135-151.
    2. Billah, Mabruk & Karim, Sitara & Naeem, Muhammad Abubakr & Vigne, Samuel A., 2022. "Return and volatility spillovers between energy and BRIC markets: Evidence from quantile connectedness," Research in International Business and Finance, Elsevier, vol. 62(C).
    3. Cui, Jinxin & Goh, Mark & Zou, Huiwen, 2021. "Coherence, extreme risk spillovers, and dynamic linkages between oil and China’s commodity futures markets," Energy, Elsevier, vol. 225(C).
    4. Rehman, Mobeen Ur & Vo, Xuan Vinh & Ko, Hee-Un & Ahmad, Nasir & Kang, Sang Hoon, 2023. "Quantile connectedness between Chinese stock and commodity futures markets," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Wang, Suhui, 2023. "Tail dependence, dynamic linkages, and extreme spillover between the stock and China's commodity markets," Journal of Commodity Markets, Elsevier, vol. 29(C).
    6. Zhuhua Jiang & Rim El Khoury & Muneer M. Alshater & Seong‐Min Yoon, 2024. "Impact of global macroeconomic factors on spillovers among Australian sector markets: Fresh findings from a wavelet‐based analysis," Australian Economic Papers, Wiley Blackwell, vol. 63(1), pages 78-105, March.
    7. Billah, Mabruk & Amar, Amine Ben & Balli, Faruk, 2023. "The extreme return connectedness between Sukuk and green bonds and their determinants and consequences for investors," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    8. Abuzayed, Bana & Al-Fayoumi, Nedal & Bouri, Elie, 2022. "Hedging UK stock portfolios with gold and oil: The impact of Brexit," Resources Policy, Elsevier, vol. 75(C).
    9. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    10. Chen, Baifan & Huang, Jionghao & Liu, Danhe & Xia, Xiaohua, 2024. "Time-frequency return connectedness between Chinese coal futures and international stock indices," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 316-333.
    11. Debalke, Negash Mulatu, 2023. "Examining volatility and spillover effects between markets for sovereign bonds of African countries and the world’s long term interest rate," MPRA Paper 117491, University Library of Munich, Germany.

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