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  • 标题:Covid-19 Pandemic and Sectoral Stock Performance in Nigeria: A Quantile Regression Approach
  • 本地全文:下载
  • 作者:Terver Kumeka ; Isiaka Akande Raifu ; Oluwatosin Adeniyi
  • 期刊名称:Journal of International Business Research
  • 印刷版ISSN:1544-0222
  • 出版年度:2021
  • 卷号:20
  • 期号:6
  • 页码:1-20
  • 语种:English
  • 出版社:The DreamCatchers Group, LLC
  • 摘要:This study examines the effects of COVID-19 pandemic (cases and deaths) and government policy responses on the sectoral stock returns in Nigerian using daily data from January 2nd, 2020 to November 24th, 2020. The stock returns of five sectors are considered which include consumer goods, banking, oil and gas, food/beverages and insurance. Employing OLS and quantile regression methods, our results establish that COVID-19 cases, deaths, and government stringency, and containment and health policy have strong impacts on sectoral stock returns. However, the impact appears to be stronger from COVID-19 confirmed cases, and containment and health policy than from its deaths and government stringency policy. Structure of dependence is predominantly stronger in the bearish markets and is significantly negative at the extreme lower and intermediate quantiles. COVID-19 cases and stringency and containment and health policies move in opposite direction to these sectors’ stock returns. As Coronavirus cases surge, stock prices decline.
  • 关键词:Coronavirus;Stock Market;Quantile Regression;Sectoral Stock Returns;Government Policies.
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