https://scholars.lib.ntu.edu.tw/handle/123456789/608014
標題: | Can stock message board sentiment predict future returns? Local versus nonlocal posts | 作者: | YEN-CHENG CHANG Shao R Wang N. |
關鍵字: | Investor sentiment;Local versus nonlocal posts;Return predictability;Small stocks;Stock message board | 公開日期: | 2022 | 卷: | 34 | 來源出版物: | Journal of Behavioral and Experimental Finance | 摘要: | Using textual analysis of stock message board posts, we find that investors’ sentiment expressed through messages can predict future one-day stock returns. For small stocks, message board sentiment can predict up to two-day cumulative future returns. This increased predictive power on small stocks is restricted mainly to local posts, which originate from the provinces in which stocks’ headquarters are located. Nonlocal posts exhibit a stronger trend-chasing sentiment than local posts. Furthermore, we find no evidence of the long-term predictive power of message board sentiment. Overall, our findings support the short-term information advantages of local investors. ? 2022 Elsevier B.V. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124850287&doi=10.1016%2fj.jbef.2022.100625&partnerID=40&md5=15dbeaa03ed2f1f845e695ee51a5f6a4 https://scholars.lib.ntu.edu.tw/handle/123456789/608014 |
ISSN: | 22146350 | DOI: | 10.1016/j.jbef.2022.100625 |
顯示於: | 財務金融學系 |
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