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Covid-19 Pandemic And Nigerian Stock Market Capitalisation

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Abstract

This study investigates the connection between COVID-19 confirmed cases and Nigerian stock market capitalisation. Daily recorded secondary data that cover a 3-month period covering 1 March to 31 May 2020 were sourced from the Nigerian Stock Exchange, Nigeria Centre for Disease Control and World Health Organisation websites. Vector regression model was employed for statistical analysis. The results show that the confirmed cases of COVID-19 have mixed association with the Nigerian stock market equity capitalisation, while the global announced confirmed cases demonstrate inverse relationship with the market capitalisation but are both statistically insignificant at 0.05 level. The implication is that, plausible severity of global health concern on emerging stock market can be waned if prompt precautionary measures are deployed. The study put forward the need for proactive media programmes by the government and the stock market leadership, capable of deterring sudden short-run effect of such unprecedented global health crises on sustainable growth of the capital market due to abrupt exit and/or restricted activities of the foreign investors and other stock market participants.

Suggested Citation

  • Ezekiel Alade, Muyiwa & Amos Adeusi, Sunday & Oluwatoyin Alade, Fisayo, 2020. "Covid-19 Pandemic And Nigerian Stock Market Capitalisation," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 7(3), pages 12-23, June.
    • Handle: RePEc:ris:ilojep:0031
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    1. Kowalewski, Oskar & Śpiewanowski, Piotr, 2020. "Stock market response to potash mine disasters," Journal of Commodity Markets, Elsevier, vol. 20(C).
    2. Ozili, Peterson K, 2020. "COVID-19 in Africa: socioeconomic impact, policy response and opportunities," MPRA Paper 99617, University Library of Munich, Germany.
    3. Robert J. Barro & José F. Ursúa & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Pandemic: Lessons from the “Spanish Flu” for the Coronavirus’s Potential Effects on Mortality and Economic Activity," NBER Working Papers 26866, National Bureau of Economic Research, Inc.
    4. Ding, Wenzhi & Levine, Ross & Lin, Chen & Xie, Wensi, 2021. "Corporate immunity to the COVID-19 pandemic," Journal of Financial Economics, Elsevier, vol. 141(2), pages 802-830.
    5. Shive, Sophie, 2010. "An Epidemic Model of Investor Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(1), pages 169-198, February.
    6. Robert J. Barro & José F. Ursua & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Epidemic - Lessons from the "Spanish Flu" for the Coronavirus's Potential Effects on Mortality and Economic Activity," CESifo Working Paper Series 8166, CESifo.
    7. Ichev, Riste & Marinč, Matej, 2018. "Stock prices and geographic proximity of information: Evidence from the Ebola outbreak," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 153-166.
    8. Laura Alfaro & Anusha Chari & Andrew N. Greenland & Peter K. Schott, 2020. "Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time," NBER Working Papers 26950, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Confirmed cases; COVID-19; Market capitalisation; Pandemic; Stock Market;
    All these keywords.

    JEL classification:

    • F02 - International Economics - - General - - - International Economic Order and Integration
    • G01 - Financial Economics - - General - - - Financial Crises
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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