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Risk contagion of global stock markets under COVID‐19:A network connectedness method

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  • Honghai Yu
  • Wangyu Chu
  • Yu’ang Ding
  • Xuezhou Zhao

Abstract

COVID‐19 spread throughout the world during 2020, bringing an increase in global financial risk. We use connectedness network to investigate the risk contagion among global stock markets during the COVID‐19 pandemic and analyse its source. Furthermore, we use spectrum analysis to explore the risk contagion effects on different frequency bands, which allows us to explore its speed and channels. We find that the United Kingdom and Italy are core transmitters of risks, and connectedness is mainly driven by low‐frequency components, which demonstrates that the risks are spread by affecting supply chains in global markets and investors’ long‐term expectations for the economy.

Suggested Citation

  • Honghai Yu & Wangyu Chu & Yu’ang Ding & Xuezhou Zhao, 2021. "Risk contagion of global stock markets under COVID‐19:A network connectedness method," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(4), pages 5745-5782, December.
    • Handle: RePEc:bla:acctfi:v:61:y:2021:i:4:p:5745-5782
    DOI: 10.1111/acfi.12775
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    References listed on IDEAS

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    Cited by:

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    2. Zheng, Jinlin & Wen, Baoyu & Jiang, Yaohui & Wang, Xiaohan & Shen, Yue, 2023. "Risk spillovers across geopolitical risk and global financial markets," Energy Economics, Elsevier, vol. 127(PA).
    3. Marina Yu. Malkina & Dmitry Yu. Rogachev, 2024. "Financial Contagion of the Russian Stock Market from the European Stock Market During the COVID-19 Pandemic," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 27-42, April.
    4. Mbarki, Imen & Omri, Abdelwahed & Naeem, Muhammad Abubakr, 2022. "From sentiment to systemic risk: Information transmission in Asia-Pacific stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    5. Arhan Sheth & Tulasi Sushra & Ameya Kshirsagar & Manan Shah, 2022. "Global Economic Impact in Stock and Commodity Markets during Covid-19 pandemic," Annals of Data Science, Springer, vol. 9(5), pages 889-907, October.
    6. Zhang, Ping & Yin, Shiqi & Sha, Yezhou, 2023. "Global systemic risk dynamic network connectedness during the COVID-19: Evidence from nonlinear Granger causality," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    7. Pengxiang Zhai & Fei Wu & Qiang Ji & Duc Khuong Nguyen, 2024. "From fears to recession? Time‐frequency risk contagion among stock and credit default swap markets during the COVID pandemic," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 551-580, January.
    8. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.

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