2021
DOI: 10.1016/j.ribaf.2021.101432
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COVID-19 Sentiment and the Chinese Stock Market: Evidence from the Official News Media and Sina Weibo

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Cited by 59 publications
(31 citation statements)
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“…Because investors' pessimistic sentiments such as anxiety, bad mood, and fear would be catalyzed by the media coverage of drastic events ( Ichev & Marinč, 2018 ). Duan, Liu, and Wang (2021) develop the real-time and forward-looking COVID-19 sentiment indices to capture the moods related to COVID-19 and find that stock returns and turnover rates are positively predicted by the COVID-19 sentiments during the research period. Furthermore, the effects of COVID-19 are amplified by the sentiments.…”
Section: Related Literaturementioning
confidence: 99%
“…Because investors' pessimistic sentiments such as anxiety, bad mood, and fear would be catalyzed by the media coverage of drastic events ( Ichev & Marinč, 2018 ). Duan, Liu, and Wang (2021) develop the real-time and forward-looking COVID-19 sentiment indices to capture the moods related to COVID-19 and find that stock returns and turnover rates are positively predicted by the COVID-19 sentiments during the research period. Furthermore, the effects of COVID-19 are amplified by the sentiments.…”
Section: Related Literaturementioning
confidence: 99%
“…Dayong et al [ 19 ] found that COVID-19 has caused markets to become highly volatile and unpredictable. Duan et al [ 20 ] discovered that stock returns and turnover rates were positively predicted by the COVID-19 sentiments during the period from 17 December 2019 to 13 March 2020, which illustrated how the effects of the pandemic crisis were amplified by the sentiments. Further research found that COVID-19 had an unprecedented negative impact on stock market volatility compared to the impact of other epidemics.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Duan et al ( Duan et al, 2021 ) studied the impact of media sentiments related to COVID-19 on Chinese stocks. The authors collected 1.8 million pieces of official news and 4.5 million Sina Weibo microblogs.…”
Section: Literature Reviewmentioning
confidence: 99%