Jan Jakub Szczygielski
Which COVID-19 information really impacts stock markets?
Szczygielski, Jan Jakub; Charteris, Ailie; Bwanya, Princess Rutendo; Brzeszczyński, Janusz
Authors
Ailie Charteris
Princess Rutendo Bwanya
Janusz Brzeszczyński
Abstract
Information about COVID-19 pandemic abounds, but which COVID-19 data actually impacts stock prices? We investigate which measures of COVID-19 matter most by applying elastic net regression for measure selection using a sample of the 35 largest stock markets. Out of 24 measures, COVID-19 related Google search trends, the stringency of government responses and media hype prevail during the height of the COVID-19 crisis. These measures proxy for COVID-19 related uncertainty, the economic impact of lockdowns and panic-driven media attention, respectively, summarizing key aspects of COVID-19 that move stock markets. Moreover, geographical proximity to the virus's outbreak and a country's development level also matter in terms of impact.
Citation
SZCZYGIELSKI, J.J., CHARTERIS, A., BWANYA, P.R. and BRZESZCZYŃSKI, J. 2023. Which COVID-19 information really impacts stock markets? Journal of international financial markets, institutions and money [online], 84, article 101592. Available from: https://doi.org/10.1016/j.intfin.2022.101592
Journal Article Type | Article |
---|---|
Acceptance Date | May 23, 2022 |
Online Publication Date | May 27, 2022 |
Publication Date | Apr 30, 2023 |
Deposit Date | Apr 11, 2023 |
Publicly Available Date | May 28, 2023 |
Journal | Journal of international financial markets, institutions and money |
Print ISSN | 1042-4431 |
Electronic ISSN | 1873-0612 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 84 |
Article Number | 101592 |
DOI | https://doi.org/10.1016/j.intfin.2022.101592 |
Keywords | COVID-19; Stock markets; Uncertainty; Lockdowns; Government responses |
Public URL | https://rgu-repository.worktribe.com/output/1925331 |
Related Public URLs | https://rgu-repository.worktribe.com/output/1925343 (Dataset) |
Files
SZCZYGIELSKI 2023 Which COVID-19 (AAM)
(1 Mb)
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
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