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If worst comes to worst: Co-movement of global stock markets in the US-China trade war

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  • Toan Luu Duc Huynh
  • Tobias Burggraf

Abstract

This paper investigates the co-movement characteristics of global stock markets in the context of the US-China trade war. By applying a set of different trivariate Copulas, our results suggest that markets co-move symmetrically in the pre-trade war period, but exhibit negative downside movements and heavy tails during the trade war. Furthermore, we find evidence for left-tail dependency structures during that period. Most importantly, this study finds that the trade war poses a systematic risk on global markets, which potentially can trigger simultaneous market downside trends. Our results are robust across different European equity market indices.

Suggested Citation

  • Toan Luu Duc Huynh & Tobias Burggraf, 2020. "If worst comes to worst: Co-movement of global stock markets in the US-China trade war," Economics and Business Letters, Oviedo University Press, vol. 9(1), pages 21-30.
    • Handle: RePEc:ove:journl:aid:13958
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    References listed on IDEAS

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    Cited by:

    1. Huynh, Toan Luu Duc & Nasir, Muhammad Ali & Nguyen, Sang Phu & Duong, Duy, 2020. "An assessment of contagion risks in the banking system using non-parametric and Copula approaches," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 105-116.
    2. Carlomagno, Guillermo & Albagli, Elías, 2022. "Trade wars and asset prices," Journal of International Money and Finance, Elsevier, vol. 124(C).
    3. Yu, Mingzhe & Fan, Jiachuan & Wang, Haijun & Wang, Jie, 2023. "US trade policy uncertainty on Chinese agricultural imports and exports: An aggregate and product-level analysis," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 70-83.
    4. Vlasova, E. & Luo, D., 2022. "Volatility spillover between the Russia-India-China triad and the United States: A multivariate generalized autoregressive conditional heteroscedasticity analysis," Journal of the New Economic Association, New Economic Association, vol. 54(2), pages 111-128.
    5. Ahmed, Rizwan & Chen, Yawen & Benjasak, Chonlakan & Gregoriou, Andros & Nahar Falah Alrwashdeh, Nusiebeh & Than, Ei Thuzar, 2023. "The performance of bidding companies in merger and acquisition deals: An empirical study of domestic acquisitions in Hong Kong and Mainland China," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 168-180.
    6. Pham, Thu Anh Thi & Nguyen, Thong Trung & Nasir, Muhammad Ali & Duc Huynh, Toan Luu, 2023. "Exchange rate pass-through: A comparative analysis of inflation targeting & non-targeting ASEAN-5 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 158-167.
    7. Huynh, Toan Luu Duc & Nasir, Muhammad Ali & Nguyen, Duc Khuong, 2023. "Spillovers and connectedness in foreign exchange markets: The role of trade policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 191-199.
    8. Tram, Thi Xuan Huong & Lai, Tien Dinh & Nguyen, Thi Truc Huong, 2023. "Constructing a composite financial inclusion index for developing economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 257-265.
    9. Duy Duong & Toan Luu Duc Huynh, 2020. "Tail dependence in emerging ASEAN-6 equity markets: empirical evidence from quantitative approaches," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-26, December.

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