Publication Type

Journal Article

Version

acceptedVersion

Publication Date

7-2020

Abstract

We examine whether analysts use information in well-known stock return anomalies when making recommendations. We find results contrary to the common view that analysts are sophisticated information intermediaries who help improve market efficiency. Specifically, when analysts make more favorable recommendations to stocks classified as overvalued, these stocks tend to have particularly large negative abnormal returns ex post. Moreover, analysts whose recommendations are more aligned with anomaly signals are more skilled and elicit greater recommendation announcement returns. Our results suggest that analysts' biased recommendations could be a source of market frictions that impede the efficient correction of mispricing.

Keywords

Analysts, Analyst recommendation, Mispricing, Market efficiency

Discipline

Finance and Financial Management | Portfolio and Security Analysis

Research Areas

Finance

Publication

Journal of Financial Economics

Volume

137

Issue

1

First Page

204

Last Page

230

ISSN

0304-405X

Identifier

10.1016/j.jfineco.2020.01.002

Publisher

Elsevier

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1016/j.jfineco.2020.01.002

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