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Quantifying China’s financial reach up through the pandemic: The African experience

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  • Burdekin, Richard C.K.
  • Reckers, Dawson
  • Tao, Ran

Abstract

This study seeks to quantify the financial connections between China and Africa. China’s increasing investments in Africa have inevitably strengthened the relationship between China and the majority of African countries over the past decade. We find consistent effects of the Shanghai Industrial Index on African stock markets together with some evidence that these relationships strengthened following the onset of the coronavirus pandemic. Markov-Switching analysis affirms these connections while also identifying intensifying effects as we move from periods of low market volatility to periods of high volatility. The African stock markets included in the sample encompass Egypt, Kenya, Morocco, Nigeria, South Africa, Tanzania, Uganda, and Zambia.

Suggested Citation

  • Burdekin, Richard C.K. & Reckers, Dawson & Tao, Ran, 2022. "Quantifying China’s financial reach up through the pandemic: The African experience," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:ecofin:v:63:y:2022:i:c:s1062940822001681
    DOI: 10.1016/j.najef.2022.101833
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    References listed on IDEAS

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    1. Dang, Vinh Q.T. & So, Erin P.K. & Yang, Alan Yu & Chan, Kenneth S., 2020. "China and international market integration: Evidence from the law of one price in the Middle East and Africa," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Ahmed, Abdullahi D. & Huo, Rui, 2018. "China–Africa financial markets linkages: Volatility and interdependence," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1140-1164.
    3. Burdekin, Richard C. K & Tao, Ran, 2021. "From Shanghai to Sydney: Chinese stock market influences on Australia," Finance Research Letters, Elsevier, vol. 38(C).
    4. Kenourgios, Dimitris & Drakonaki, Emmanouela & Dimitriou, Dimitrios, 2019. "ECB’s unconventional monetary policy and cross-financial-market correlation dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    5. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
    6. Beini Guo & Oyakhilome Ibhagui, 2019. "China–Africa stock market linkages and the global financial crisis," Journal of Asset Management, Palgrave Macmillan, vol. 20(4), pages 301-316, July.
    7. Yi Feng & Wanjun Jiang & Zhijun Yu, 2015. "Economic, Political and Resource-Based Models of Chinese Contracts in Africa: An Empirical Analysis," Chinese Economy, Taylor & Francis Journals, vol. 48(3), pages 215-234, May.
    8. Li, Dongkun & Chen, Xiaohong & Wohlfarth, Paul, 2022. "Public participation, investment networks, and China's outward FDI: Evidence from 58 countries along the belt and road," Emerging Markets Review, Elsevier, vol. 51(PB).
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    More about this item

    Keywords

    Stock markets; International transmission; Africa; China; Markov-Switching;
    All these keywords.

    JEL classification:

    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration

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