Stock returns in the time of COVID-19 pandemic
Firmin Doko Tchatoka,
Julia Puellbeck and
Virginie Masson
Applied Economics, 2022, vol. 54, issue 9, 1071-1092
Abstract:
This paper investigates the dependence between COVID-19 shocks and stock market returns for seven countries: Canada, China, France, Germany, South Korea, the UK and the US. Using a quantile-on-quantile (QQ) regression analysis, we find that all stock markets responded to COVID-19 shocks mostly negatively. However, we also observe instances where an increase in the number of COVID-19 confirmed cases resulted in higher stock returns. This unexpected positive dependence captures the much debated stock market-real economy disconnect at the time of the onset of the COVID-19 pandemic. Furthermore, although stock markets’ responses to both the global and the country-specific COVID-19 shocks are similar across countries, substantial differences also exist. In particular, stock markets in the US and China differed in their responses to the global COVID-19 shocks, with a higher degree of heterogeneity observed for the Chinese market. Finally, Asian markets reacted differently to country-specific COVID-19 shocks when compared to the US market. This finding could be explained by the fact that investors in the US stock markets may form their expectations mostly from the US COVID-19 shock, while investors in Asian countries, including China, may value more the information transmitted through the global COVID-19 shock.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2021.1975028 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:54:y:2022:i:9:p:1071-1092
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2021.1975028
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().