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Purpose The study measures the total systemic risks and connectedness across commodities, stocks, exchange rates and bond markets in Africa during the Covid-19 pandemic. Design/methodology/approach The study uses the Diebold-Yilmaz spillover and connectedness measures in a generalized VAR framework. The author calculates the net transmitters or receivers of shocks between two assets and visualizes their strength using a network analysis tool. Findings The study found low systemic risks across all assets and countries. However, we found higher systemic risks in the forex market than in the stock and bond markets, and in South Africa than in other countries. The dynamic analysis found time-varying connectedness return shocks, which increased during the peak periods of the first and second waves of the pandemic. We found both gold and oil as net receivers of shocks. Overall, over half of all assets were net receivers, and others were net transmitters of return shocks. The network connectedness plot shows high net pairwise connectedness from Morocco to South Africa stock market. Practical implications The study has implications for policymakers to develop the capacities of local investors and markets to limit portfolio outflows during a crisis. Originality/value Previous studies have analyzed spillovers across asset classes in a single country or a single asset across countries. This paper contributes to the literature on network connectedness across assets and countries.
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Robert Owusu Boakye
Lord Mensah
Sang Hoon Kang
International Journal of Emerging Markets
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Boakye et al. (Mon,) studied this question.
www.synapsesocial.com/papers/68e75c95b6db6435876d33f6 — DOI: https://doi.org/10.1108/ijoem-03-2023-0411
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