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Contagion effect of systemic risk among industry sectors in China’s stock market

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  • Xu, Qiuhua
  • Yan, Haoyang
  • Zhao, Tianyu

Abstract

This paper constructs a tail event driven network to investigate the interdependence of tail risks among industries in the Chinese stock market from 2014 to 2019, and identifies systemically important industries that have made significant contributions to risk contagion by systemic risk decomposition technique. The empirical results suggest strong linkages among industry sectors. The risk profiles of certain industries under close supply–demand relationships are positively correlated, whereas the financial industry, particularly banking, proves to be the principal risk diversifier in the network, with the household appliance, food and drink industries performing likewise an important role in risk diversification. Based on the TENQR model, further study on additional information provided by the industrial chain structure demonstrates that the upstream industry dominates the spread of risks under extreme market conditions. Our findings are of constructive significance to the anticipative introduction of corresponding policies by regulatory authorities, and are also instructive to the investors’ allocation of assets.

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  • Xu, Qiuhua & Yan, Haoyang & Zhao, Tianyu, 2022. "Contagion effect of systemic risk among industry sectors in China’s stock market," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:ecofin:v:59:y:2022:i:c:s1062940821001819
    DOI: 10.1016/j.najef.2021.101576
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    More about this item

    Keywords

    Industry sectors; CoES; Systemic risk; Network analysis; Risk contagion; Industrial chain;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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