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.
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Westminster Coll, Dept Accounting Business Econ & MIS, Fulton, MO 65251 USAWestminster Coll, Dept Accounting Business Econ & MIS, Fulton, MO 65251 USA
Alhaj-Yaseen, Yaseen S.
Lam, Eddery
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Univ Nebraska Kearney, Dept Econ, Kearney, NE 68849 USAWestminster Coll, Dept Accounting Business Econ & MIS, Fulton, MO 65251 USA
Lam, Eddery
Barkoulas, John T.
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Georgia So Univ, Dept Finance & Econ, Statesboro, GA 30460 USAWestminster Coll, Dept Accounting Business Econ & MIS, Fulton, MO 65251 USA
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Texas Tech Univ, Rawls Coll Business, Area Finance, Lubbock, TX 79409 USATexas Tech Univ, Rawls Coll Business, Area Finance, Lubbock, TX 79409 USA
Baig, Ahmed S.
Blau, Benjamin M.
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Utah State Univ, Huntsman Sch Business, Dept Econ & Finance, 3565 Old Main Hill, Logan, UT 84322 USATexas Tech Univ, Rawls Coll Business, Area Finance, Lubbock, TX 79409 USA
Blau, Benjamin M.
Whitby, Ryan J.
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Utah State Univ, Huntsman Sch Business, Dept Econ & Finance, 3565 Old Main Hill, Logan, UT 84322 USATexas Tech Univ, Rawls Coll Business, Area Finance, Lubbock, TX 79409 USA