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- Publisher Website: 10.1111/1911-3846.12935
- Scopus: eid_2-s2.0-85188428486
- WOS: WOS:001186357200001
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Article: Local information advantage and stock returns: Evidence from social media
Title | Local information advantage and stock returns: Evidence from social media |
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Authors | |
Keywords | local information advantage return predictability sentiment analysis social media topical analysis |
Issue Date | 18-Mar-2024 |
Publisher | Wiley |
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 Identifier | http://hdl.handle.net/10722/342117 |
ISSN | 2023 Impact Factor: 3.2 2023 SCImago Journal Rankings: 3.086 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Huang, Yuqin | - |
dc.contributor.author | Li, Feng | - |
dc.contributor.author | Li, Tong | - |
dc.contributor.author | Lin, Tse‐Chun | - |
dc.date.accessioned | 2024-04-02T08:25:42Z | - |
dc.date.available | 2024-04-02T08:25:42Z | - |
dc.date.issued | 2024-03-18 | - |
dc.identifier.citation | Contemporary Accounting Research, 2024 | - |
dc.identifier.issn | 0823-9150 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.publisher | Wiley | - |
dc.relation.ispartof | Contemporary Accounting Research | - |
dc.subject | local information advantage | - |
dc.subject | return predictability | - |
dc.subject | sentiment analysis | - |
dc.subject | social media | - |
dc.subject | topical analysis | - |
dc.title | Local information advantage and stock returns: Evidence from social media | - |
dc.type | Article | - |
dc.identifier.doi | 10.1111/1911-3846.12935 | - |
dc.identifier.scopus | eid_2-s2.0-85188428486 | - |
dc.identifier.eissn | 1911-3846 | - |
dc.identifier.isi | WOS:001186357200001 | - |
dc.identifier.issnl | 0823-9150 | - |