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Uncertainty, Search Engine Data, and Stock Market Returns During a Pandemic

Bibliographic Data

ID22077445
AuthorsSheng Xu (0000-0002-7503-2467, Zhejiang University of Technology), Jing Zhang (0000-0002-6431-9286, Southwest Jiaotong University, corresponding author), Rui Shen (0000-0002-9859-9191, Zhejiang University of Technology)
Year2022
Volume10
Pages884324-884324
Publication date2022-04-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.884324
PMID35462843
OpenAlexW4226253643
LanguageEN
References cited15

In recent years, a series of uncertain events, including the spread of COVID-19, has affected the Chinese stock market. When people face uncertainty, they often turn to internet search engines to obtain more information to support their investment decisions. This paper uses the uncertainty index, investor sentiment reflected by search engine data, and Chinese stock return data during the pandemic to examine the relationships among the three. Using daily data from March 2, 2020, to March 2, 2021, our empirical findings reveal that stock returns during a pandemic lead to an increase in investor retrieval of search engine data and that uncertainty affects stock returns during a pandemic. However, the reverse is not true. Therefore, in the face of an uncertainty such as market volatility caused by the spread of the pandemic, the active release of favorable information by regulators can help guide investor sentiment, prevent sharp stock market volatility, and improve the effectiveness of policy governance

Business · Econometrics · Economics · Financial economics · Geography · Information retrieval · Online search · Pandemic · Search engine indexing · Stock market · Stock market index · Computer Science · COVID-19 Pandemic Impacts · Energy, Environment, Economic Growth · Market Dynamics and Volatility

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Highly citedNo

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