Are disagreements agreeable? Evidence from information aggregation *

Social Science Research Network(2021)

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摘要
Disagreement measures are known to predict cross-sectional stock returns but fail to predict market returns. This paper proposes a partial least squares disagreement index by aggregating information across individual disagreement measures and shows that this index significantly predicts market returns both inand out-of-sample. Consistent with the theory in Atmaz and Basak (2018), the disagreement index asymmetrically predicts market returns with greater power in high-sentiment periods, is positively associated with investor expectations of market returns, predicts market returns through a cash flow channel, and can explain the positive volume-volatility relationship. (c) 2021 Elsevier B.V. All rights reserved.
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关键词
Disagreement,Return predictability,PLS,LASSO,Machine learning
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