We examine whether the post-earnings announcement drift (PEAD) varies cross-sectionally with short-horizon return predictability from order flows, which characterizes the information environment and reflects the extent to which information is efficiently impounded in prices. We first demonstrate that this proxy for market efficiency captures the degree of market frictions that limit arbitrage activities. We then present evidence that the inverse of short-horizon return predictability is negatively associated with the PEAD and remains statistically and economically significant after controlling for a wide range of explanatory variables used in prior research. Finally, although we find that profits of implementing the PEAD trading strategy are significantly reduced by transaction costs, we demonstrate that profits continue to remain statistically and economically significant for the less efficient firms that face otherwise higher barriers to arbitrage. Our results indicate that short-horizon return predictability from order flows better explains stock returns after earnings announcements.
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Sun Yat Sen Univ, Business Sch, Guangzhou, Guangdong, Peoples R ChinaSun Yat Sen Univ, Business Sch, Guangzhou, Guangdong, Peoples R China
Cai, Guilong
Lin, Bingxuan
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Sun Yat Sen Univ, Business Sch, Guangzhou, Guangdong, Peoples R China
Univ Rhode Isl, Coll Business, Kingston, RI 02881 USASun Yat Sen Univ, Business Sch, Guangzhou, Guangdong, Peoples R China
Lin, Bingxuan
Wei, Minghai
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Sun Yat Sen Univ, Business Sch, Guangzhou, Guangdong, Peoples R ChinaSun Yat Sen Univ, Business Sch, Guangzhou, Guangdong, Peoples R China
Wei, Minghai
Xu, Xiaowei
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Univ Rhode Isl, Coll Business, Kingston, RI 02881 USASun Yat Sen Univ, Business Sch, Guangzhou, Guangdong, Peoples R China
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Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
Dublin City Univ, DCU Business Sch, Dublin, IrelandTianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
Chu, Gang
Dowling, Michael
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Dublin City Univ, DCU Business Sch, Dublin, IrelandTianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
Dowling, Michael
Shen, Dehua
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Nankai Univ, Sch Finance, Tianjin 300350, Peoples R China
Nankai Univ, Sch Finance, 38 Tongyan Rd, Tianjin 300350, Peoples R ChinaTianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
Shen, Dehua
Zhang, Yongjie
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Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R ChinaTianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China