Investor Attention and Asset Pricing Anomalies
Author(s) -
Lei Jiang,
Jinyu Liu,
Lin Peng,
Baolian Wang
Publication year - 2021
Publication title -
review of finance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.933
H-Index - 61
eISSN - 1875-824X
pISSN - 1572-3097
DOI - 10.1093/rof/rfab032
Subject(s) - economics , capital asset pricing model , arbitrage , anomaly (physics) , stock (firearms) , order (exchange) , financial economics , rounding , limits to arbitrage , financial market , stock market , monetary economics , finance , computer science , mechanical engineering , paleontology , physics , horse , engineering , biology , condensed matter physics , operating system
We investigate the relationship between investor attention and financial market anomalies. We find that anomaly returns tend to be higher following high-attention days. The result is robust after controlling for the effect of news and in a natural experiment setting in which a stock market regulation and rounding errors generate exogenous variations in attention. An analysis of order imbalances suggests that large traders trade on anomaly signals more aggressively upon observing higher attention. We discuss the extent to which the findings are driven by inattention-driven underreaction, bias amplification, or coordinated arbitrage mechanisms, thereby providing insight into the understanding of anomalies.
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