Social media and price discovery: The case of cross-listed firms

被引:0
|
作者
Fan, Rui [1 ]
Talavera, Oleksandr [2 ]
Tran, Vu [3 ]
机构
[1] Swansea Univ, Sch Management, Swansea, W Glam, Wales
[2] Univ Birmingham, Birmingham Business Sch, Birmingham, W Midlands, England
[3] Univ Reading, ICMA Ctr, Henley Business Sch, Reading RG6 6BA, Berks, England
关键词
INFORMATION-CONTENT; INVESTOR SENTIMENT; NOISE; DISCLOSURE; PATTERNS; STOCKS;
D O I
10.1111/jfir.12310
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this article, we examine whether social media information affects the price-discovery process for cross-listed companies. Using over 29 million overnight tweets mentioning cross-listed companies, we examine the role of social media for a link between the last periods of trading in the US markets and the first periods in the UK market. Our estimates suggest that the size and content of information flows on social networks support the price-discovery process. The interactions between lagged US stock features and overnight tweets significantly affect stock returns and volatility of cross-listed stocks when the UK market opens. These effects weaken and disappear 1 to 3 hr after the opening of the UK market. We also develop a profitable trading strategy based on overnight social media, and the profits remain economically significant after considering transaction costs.
引用
收藏
页码:151 / 167
页数:17
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