Local information advantage and stock returns: Evidence from social media

被引:0
|
作者
Huang, Yuqin [1 ]
Li, Feng [2 ]
Li, Tong [3 ,4 ]
Lin, Tse-Chun [5 ,6 ]
机构
[1] Cent Univ Finance & Econ, Sch Finance, Beijing, Peoples R China
[2] Peking Univ, Guanghua Sch Management, Beijing, Peoples R China
[3] Xiamen Univ, Sch Econ, 422 Siming South Rd, Xiamen 361005, Peoples R China
[4] Xiamen Univ, Wang Yanan Inst Studies Econ, 422 Siming South Rd, Xiamen 361005, Peoples R China
[5] Univ Hong Kong, HKU Business Sch, Pok Fu Lam, Hong Kong, Peoples R China
[6] Natl Taiwan Univ, Dept Finance, Taipei, Taiwan
基金
中国国家自然科学基金;
关键词
local information advantage; return predictability; sentiment analysis; social media; topical analysis; analyse de sentiments; analyse thematique; avantage lie a l'information de proximite; medias sociaux; previsibilite des rendements; DOMESTIC INVESTORS; CROSS-SECTION; MARKET RESPONSE; INVESTMENT; VOLATILITY; BIAS; COMMUNICATION; ATTENTION; GEOGRAPHY; FOREIGN;
D O I
10.1111/1911-3846.12935
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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. L'avantage lie a l'information de proximite et les rendements des actions : donnees issues des medias sociauxLes auteurs examinent l'asymetrie d'information entre les investisseurs locaux et non locaux a l'aide d'un vaste ensemble de donnees issues de publications relatives aux actions sur les forums de discussion. Ils constatent que les publications anormales et relatives d'une entreprise, c'est-a-dire les changements inhabituels au niveau du nombre de publications diffusees par des investisseurs locaux par opposition aux investisseurs non locaux, temoignent de l'avantage lie a l'information de proximite. Cette mesure predit positivement les rendements des actions a court terme des entreprises ainsi que ceux des entreprises analogues de la meme ville. L'analyse de sentiments montre que les activites de publication generent surtout les bonnes nouvelles, probablement en raison du biais de transmission sociale et des contraintes liees a la vente a decouvert. Les auteurs identifient les informations qui assurent la previsibilite des rendements par le biais d'une analyse basee sur le contenu. Les publications relatives anormales provoquent aussi des revisions de previsions de la part des analystes. Dans l'ensemble, les interactions des investisseurs sur les medias sociaux produisent de precieuses informations privilegiees a caractere geographique.
引用
收藏
页码:1089 / 1119
页数:31
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