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Cited by 298

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Can Mutual Fund Managers Pick Stocks? Evidence from Their Trades Prior to Earnings Announcements

Open access
Baker, Malcolm, Litov, Lubomir, Wachter, Jessica A., Wurgler, Jeffrey·2010·Journal of Financial and Quantitative Analysis

Abstract

Recent research finds that the stocks that mutual fund managers buy outperform the stocks that they sell (e.g., Chen, Jegadeesh, and Wermers (2000)). We study the nature of this stock-picking ability. We construct measures of trading skill based on how the stocks held and traded by fund managers perform at subsequent corporate earnings announcements. This approach increases the power to detect skilled trading and sheds light on its source. We find that the average fund’s recent buys significantly outperform its recent sells around the next earnings announcement, and that this accounts for a disproportionate fraction of the total abnormal returns to fund trades estimated in prior work. We find that mutual fund trades also forecast earnings surprises. We conclude that mutual fund managers are able to trade profitably in part because they are able to forecast earnings-related fundamentals.

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Crossref · 10.1017/s0022109010000426

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Metadata

Authors
Baker, M., Litov, L., Wachter, J. A., & Wurgler, J.
Venue
Journal of Financial and Quantitative Analysis
Published
2010-08-02
Volume
45
Issue
5
Pages
1111-1131
ISSN
  • 0022-1090 (ISSN-L)
  • 1756-6916
OpenAlex
W3124910102
Cited by
298
References
51
FWCI
33.19
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Can Mutual Fund Managers Pick Stocks? Evidence from Their Trades Prior to Earnings Announcements. https://app.cochat.ai/papers/10.1017/s0022109010000426
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Baker, M., Litov, L., Wachter, J. A., & Wurgler, J. (2010). Can Mutual Fund Managers Pick Stocks? Evidence from Their Trades Prior to Earnings Announcements. Journal of Financial and Quantitative Analysis. https://doi.org/10.1017/s0022109010000426

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.