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Article: Local information advantage and stock returns: Evidence from social media

TitleLocal information advantage and stock returns: Evidence from social media
Authors
Keywordslocal information advantage
return predictability
sentiment analysis
social media
topical analysis
Issue Date18-Mar-2024
PublisherWiley
Citation
Contemporary Accounting Research, 2024 How to Cite?
Abstract

We examine the information asymmetry between local and nonlocal investors with a large dataset of stock message board postings. We document that abnormal relative postings of a firm, that is, unusual changes in the volume of postings from local versus nonlocal investors, capture locals' information advantage. This measure positively predicts firms' short-term stock returns as well as those of peer firms in the same city. Sentiment analysis shows that posting activities primarily reflect good news, potentially due to social transmission bias and short-sales constraints. We identify the information driving return predictability through content-based analysis. Abnormal relative postings also lead analysts' forecast revisions. Overall, investors' interactions on social media contain valuable geography-based private information.


Persistent Identifierhttp://hdl.handle.net/10722/342117
ISSN
2023 Impact Factor: 3.2
2023 SCImago Journal Rankings: 3.086
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHuang, Yuqin-
dc.contributor.authorLi, Feng-
dc.contributor.authorLi, Tong-
dc.contributor.authorLin, Tse‐Chun-
dc.date.accessioned2024-04-02T08:25:42Z-
dc.date.available2024-04-02T08:25:42Z-
dc.date.issued2024-03-18-
dc.identifier.citationContemporary Accounting Research, 2024-
dc.identifier.issn0823-9150-
dc.identifier.urihttp://hdl.handle.net/10722/342117-
dc.description.abstract<p>We examine the information asymmetry between local and nonlocal investors with a large dataset of stock message board postings. We document that abnormal relative postings of a firm, that is, unusual changes in the volume of postings from local versus nonlocal investors, capture locals' information advantage. This measure positively predicts firms' short-term stock returns as well as those of peer firms in the same city. Sentiment analysis shows that posting activities primarily reflect good news, potentially due to social transmission bias and short-sales constraints. We identify the information driving return predictability through content-based analysis. Abnormal relative postings also lead analysts' forecast revisions. Overall, investors' interactions on social media contain valuable geography-based private information.<br></p>-
dc.languageeng-
dc.publisherWiley-
dc.relation.ispartofContemporary Accounting Research-
dc.subjectlocal information advantage-
dc.subjectreturn predictability-
dc.subjectsentiment analysis-
dc.subjectsocial media-
dc.subjecttopical analysis-
dc.titleLocal information advantage and stock returns: Evidence from social media-
dc.typeArticle-
dc.identifier.doi10.1111/1911-3846.12935-
dc.identifier.scopuseid_2-s2.0-85188428486-
dc.identifier.eissn1911-3846-
dc.identifier.isiWOS:001186357200001-
dc.identifier.issnl0823-9150-

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