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The Dynamic Extreme Co-Movement between Chinese Stock Market and Global Stock Markets

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  • Naijing Huang
  • Zhigang Huang
  • Weijia Wang

Abstract

We use time-varying Symmetrized Joe-Clayton Copula model to study the extreme co-movement (boom or crash together) between the Chinese stock market and major stock markets in the world from 2007 to 2017, including developed markets and stock markets on “Belt and Road Initiative” (hereafter B.R.I.). We find that the extreme co-movement probability between Chinese market and “Belt and Road Initiative” markets is higher than developed markets at both tails. Then we study important “real” and “non-fundamental” factors affecting the excess co-movement probability, including bilateral trade openness, financial integration, and economic policy uncertainty. The results of panel regression analysis show that: the bilateral financial integration has significant effects over the lower tail dependence between Chinese and developed markets, but does not affect the extreme co-movement between Chinese and B.R.I. markets. And the bilateral trade openness is an important factor for the extreme co-movement at both tail between Chinese and global markets. The economic policy uncertainty index, especially China’s economic policy uncertainty, plays a key role in the extreme co-movement between Chinese and developed markets at both tails. However, it has sizable effects only at the upper tail co-movement between Chinese and B.R.I. markets.

Suggested Citation

  • Naijing Huang & Zhigang Huang & Weijia Wang, 2019. "The Dynamic Extreme Co-Movement between Chinese Stock Market and Global Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(14), pages 3241-3257, November.
  • Handle: RePEc:mes:emfitr:v:55:y:2019:i:14:p:3241-3257
    DOI: 10.1080/1540496X.2018.1529559
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    Citations

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    Cited by:

    1. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021. "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper 109349, University Library of Munich, Germany.
    2. Burdekin, Richard C. K & Tao, Ran, 2021. "From Shanghai to Sydney: Chinese stock market influences on Australia," Finance Research Letters, Elsevier, vol. 38(C).
    3. Fan, Haichao & Gou, Qin & Peng, Yuchao & Xie, Wenjing, 2020. "Spillover effects of capital controls on capital flows and financial risk contagion," Journal of International Money and Finance, Elsevier, vol. 105(C).
    4. Bonga-Bonga, Lumengo & Mpoha, Salifya, 2024. "Spillover effects from China and the United States to Key Regional Emerging Markets: A dynamic analysis," International Review of Financial Analysis, Elsevier, vol. 91(C).
    5. Sha, Yezhou & Song, Weijia, 2021. "Can Bitcoin hedge Belt and Road equity markets?," Finance Research Letters, Elsevier, vol. 42(C).
    6. Si, Deng-Kui & Zhao, Bing & Li, Xiao-Lin & Ding, Hui, 2021. "Policy uncertainty and sectoral stock market volatility in China," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 557-573.

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