The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Institutional Investors and Equity Returns: Are Short-term Institutions Better Informed?
Abstract
We show that the positive relation between institutional ownership and future stock returns documented in Gompers and Metrick (2001) is driven by short-term institutions. Furthermore, short-term institutions' trading forecasts future stock returns. This predictability does not reverse in the long run and is stronger for small and growth stocks. Short-term institutions' trading is also positively related to future earnings surprises. By contrast, long-term institutions' trading does not forecast future returns, nor is it related to future earnings news. Our results are consistent with the view that short-term institutions are better informed and they trade actively to exploit their informational advantage.
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“Prior research documents that institutional investors are informed traders who rely heavily on private or costly information, while retail investors primarily trade on publicly available information”
From The origins of ESG demand: Evidence from retail and institutional investor responses to environmental rankings (2026) · cites this paper as Yan & Zhang, 2009
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Citations
Cites
On Persistence in Mutual Fund Performance
Carhart, M. M. (1997) · The Journal of Finance · doi:10.1111/j.1540-6261.1997.tb03808.x · Cited by 17,283
The Cross‐Section of Expected Stock Returns
FAMA, E. F., & FRENCH, K. R. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04398.x · Cited by 17,261
Risk, Return, and Equilibrium: Empirical Tests
Fama, E. F., & MacBeth, J. D. (1973) · Journal of Political Economy · doi:10.1086/260061 · Cited by 14,258
Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency
JEGADEESH, N., & TITMAN, S. (1993) · The Journal of Finance · doi:10.1111/j.1540-6261.1993.tb04702.x · Cited by 11,584
Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors
Barber, B. M., & Odean, T. (2000) · The Journal of Finance · doi:10.1111/0022-1082.00226 · Cited by 3,955
On the impossibility of informationally efficient markets
Stiglitz, J. E., & Grossman, S. J. (1980) · Columbia University · doi:10.7916/d8765r99 · Cited by 3,645
The Influence of Institutional Investors on Myopic R&D Investment BehaviorPreprint
Bushee, B. J. (1998) · SSRN Electronic Journal · Cited by 3,198
Measuring Mutual Fund Performance with Characteristic‐Based Benchmarks
DANIEL, K., GRINBLATT, M., TITMAN, S., & WERMERS, R. (1997) · The Journal of Finance · doi:10.1111/j.1540-6261.1997.tb02724.x · Cited by 2,778
The impact of institutional trading on stock prices
Lakonishok, J., Shleifer, A., & Vishny, R. W. (1992) · Journal of Financial Economics · doi:10.1016/0304-405x(92)90023-q · Cited by 2,062
Volume, Volatility, Price, and Profit When All Traders Are Above Average
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Cited by
Blockholder Trading, Market Efficiency, and Managerial Myopia
EDMANS, A. (2009) · The Journal of Finance · doi:10.1111/j.1540-6261.2009.01508.x · Cited by 1,258
Institutional investor stability and crash risk: Monitoring versus short-termism?
Callen, J. L., & Fang, X. (2013) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2013.02.018 · Cited by 734
Are institutional investors with multiple blockholdings effective monitors?
Kang, J.-K., Luo, J., & Na, H. S. (2018) · Journal of Financial Economics · doi:10.1016/j.jfineco.2018.03.005 · Cited by 412
Investors' Horizons and the Amplification of Market Shocks
Cella, C., Ellul, A., & Giannetti, M. (2013) · Review of Financial Studies · doi:10.1093/rfs/hht023 · Cited by 330
Corporate ESG Profiles and Investor Horizons
Starks, L. T., Venkat, P., & Zhu, Q. (2017) · doi:10.2139/ssrn.3049943 · Cited by 319
Metadata
- Authors
- Yan, X. (., & Zhang, Z.
- Venue
- Review of Financial Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-01-03
- Volume
- 22
- Issue
- 2
- Pages
- 893-924
- ISSN
- 0893-9454 (ISSN-L)
- 1465-7368
- OpenAlex
- W3122389145
- Cited by
- 916
- References
- 37
- FWCI
- 25.39
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.