Macroeconomic Variables and Stock Market Indices during the COVID-19 Pandemic: Evidence from USA and Canada

M. M. Rahman, Md. Mominur Rahman, Mohammad Zoynul Abedin
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Abstract

Using Pooled Ordinary Least Square (Pooled OLS) on a daily panel dataset from the US and Canada from January 22 to September 22, 2020, this study examines the impact of macroeconomic indicators impact on the stock market indices during the COVID-19 pandemic. We improved the interaction relationship of government action variables with the trend in COVID-19 affected and death cases in finding the reaction of stock market returns. We find that the industrial production and money supply significantly influence the stock market return during this pandemic. As there is a paucity of literature together with unclear findings, we improved that social distancing and government economic support significantly affect the stock market returns. Further, this study implies that the interaction of social distancing with the trend in COVID-19 affected cases reduces the adverse reaction of stock market returns during this pandemic. But the interaction of social distancing with the trend in COVID-19 death cases enters negative and significant, suggesting that social distancing action with the trend in death cases of COVID-19 doesn’t weaken the inverse reaction of stock market returns. During this pandemic period, this study can be a policy dialog for the government, policymakers, researchers, and regulatory bodies.
COVID-19大流行期间的宏观经济变量和股票市场指数:来自美国和加拿大的证据
本研究利用汇集普通最小二乘(Pooled OLS)对2020年1月22日至9月22日来自美国和加拿大的每日面板数据集进行分析,检验了2019冠状病毒病大流行期间宏观经济指标对股市指数的影响。在寻找股市收益的反应时,我们改进了政府行为变量与COVID-19感染趋势和死亡病例的交互关系。我们发现,在疫情期间,工业生产和货币供应量显著影响股市收益。由于文献较少,研究结果不明确,我们改进了社会距离和政府经济支持对股市收益的显著影响。此外,该研究表明,社交距离与COVID-19感染病例趋势的相互作用降低了疫情期间股市回报的不良反应。但社交距离与COVID-19死亡病例趋势的交互作用为负且显著,表明社交距离与COVID-19死亡病例趋势的交互作用并未减弱股市收益的逆反应。在这次大流行期间,这项研究可以成为政府、决策者、研究人员和监管机构的政策对话。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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