Investor Sentiment and Stock Market Reactions to COVID-19: Evidence from China

This paper treats the outbreak of coronavirus disease 2019 (COVID-19) as a natural experiment that can provide insights into the effects of investor sentiment on stock market reactions. Employing the event study methodology (ESM) and taking the date of the Wuhan lockdown as the event date, we find t...

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Main Authors: Lin Sun, Wei Shi
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/8413916
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author Lin Sun
Wei Shi
author_facet Lin Sun
Wei Shi
author_sort Lin Sun
collection DOAJ
description This paper treats the outbreak of coronavirus disease 2019 (COVID-19) as a natural experiment that can provide insights into the effects of investor sentiment on stock market reactions. Employing the event study methodology (ESM) and taking the date of the Wuhan lockdown as the event date, we find that average abnormal return (AAR) and cumulative abnormal return (CAR) are significantly negative, and average trading volume excesses far more than before within two days of the outbreak. Further, we establish a difference-in-differences (DID) model to investigate the differences between Hubei and non-Hubei listed companies. The results show that for Hubei listed companies, the change of excessive trading volume (ETV) between pre-event and post-event period is significantly higher than that of non-Hubei listed companies, while there exhibits no relationship between the change of AAR and registration place. Overall, our findings provide new evidence for the interaction of local bias and investor sentiment affecting stock market reactions.
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institution Kabale University
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spelling doaj-art-558f8a49ac6a418bab558a1ba919669b2025-02-03T01:20:17ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/8413916Investor Sentiment and Stock Market Reactions to COVID-19: Evidence from ChinaLin Sun0Wei Shi1School of Mathematics and StatisticsSchool of ManagementThis paper treats the outbreak of coronavirus disease 2019 (COVID-19) as a natural experiment that can provide insights into the effects of investor sentiment on stock market reactions. Employing the event study methodology (ESM) and taking the date of the Wuhan lockdown as the event date, we find that average abnormal return (AAR) and cumulative abnormal return (CAR) are significantly negative, and average trading volume excesses far more than before within two days of the outbreak. Further, we establish a difference-in-differences (DID) model to investigate the differences between Hubei and non-Hubei listed companies. The results show that for Hubei listed companies, the change of excessive trading volume (ETV) between pre-event and post-event period is significantly higher than that of non-Hubei listed companies, while there exhibits no relationship between the change of AAR and registration place. Overall, our findings provide new evidence for the interaction of local bias and investor sentiment affecting stock market reactions.http://dx.doi.org/10.1155/2022/8413916
spellingShingle Lin Sun
Wei Shi
Investor Sentiment and Stock Market Reactions to COVID-19: Evidence from China
Discrete Dynamics in Nature and Society
title Investor Sentiment and Stock Market Reactions to COVID-19: Evidence from China
title_full Investor Sentiment and Stock Market Reactions to COVID-19: Evidence from China
title_fullStr Investor Sentiment and Stock Market Reactions to COVID-19: Evidence from China
title_full_unstemmed Investor Sentiment and Stock Market Reactions to COVID-19: Evidence from China
title_short Investor Sentiment and Stock Market Reactions to COVID-19: Evidence from China
title_sort investor sentiment and stock market reactions to covid 19 evidence from china
url http://dx.doi.org/10.1155/2022/8413916
work_keys_str_mv AT linsun investorsentimentandstockmarketreactionstocovid19evidencefromchina
AT weishi investorsentimentandstockmarketreactionstocovid19evidencefromchina