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Medientyp:
E-Artikel
Titel:
Is User-Generated Twittersphere Activity Associated with Stock Market Reactions to 8-K Filings?
Beteiligte:
Debreceny, Roger S.;
Rahman, Asheq;
Wang, Tawei
Erschienen:
American Accounting Association, 2021
Erschienen in:
Journal of Information Systems, 35 (2021) 2, Seite 195-217
Sprache:
Englisch
DOI:
10.2308/isys-2020-034
ISSN:
1558-7959;
0888-7985
Entstehung:
Anmerkungen:
Beschreibung:
<jats:title>ABSTRACT</jats:title><jats:p>Prior studies have demonstrated that company-generated tweets as a device for the dissemination of corporate announcements help reduce information asymmetry. This paper demonstrates that user-generated tweets around corporate announcements have information content in addition to the information content of the announcement itself. Using a sample of S&P 1500 firms, we test the effects of abnormal levels of user-generated tweets and abnormal sentiment in the tweets over the three days surrounding 8-K filings of unanticipated events on market returns and liquidity of stocks. Results show that abnormal levels of user-generated tweets are positively associated with both the absolute cumulative abnormal returns and cumulative abnormal trading volume. We also find an indication of a cautionary stance by the market when sentiment is negative around the announcements. Our results have economic significance from both the stock valuation and the stock liquidity perspectives.</jats:p><jats:p>JEL Classifications: M41.</jats:p>