The discovery and sudden spread of the novel coronavirus (COVID-19) exposed individuals to a great uncertainty about the potential health and economic ramifications of the virus, which triggered a surge in demand for information about COVID-19. To understand financial market implications of individuals' behavior upon such uncertainty, we explore the relationship between Google search queries related to COVID-19-information search that reflects one's level of concern or risk perception-and the performance of major financial indices. The empirical analysis based on the Bayesian inference of a structural vector autoregressive model shows that one unit increase in the popularity of COVID-19-related global search queries, after controlling for COVID-19 cases, results in 0.038 - 0.069 % of a cumulative decline in global financial indices after one day and 0.054 - 0.150 % of a cumulative decline after one week.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517360 | PMC |
http://dx.doi.org/10.3390/e22070791 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!