The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Institutional Investors and the Informational Efficiency of Prices
Abstract
Using a broad panel of NYSE-listed stocks between 1983 and 2004, we study the relation between institutional shareholdings and the relative informational efficiency of prices, measured as deviations from a random walk. Stocks with greater institutional ownership are priced more efficiently, and we show that variation in liquidity does not drive this result. One mechanism through which prices become more efficient is institutional trading activity, even when institutions trade passively. But efficiency is also directly related to institutional holdings, even after controlling for institutional trading, analyst coverage, short selling, variation in liquidity, and firm characteristics.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Efficient capital markets: A review of theory and empirical work
Fama, E. F. (1970) · The Journal of Finance · doi:10.2307/2325486 · Cited by 13,635
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
Griffin, J. M., Kelly, P. J., & Nardari, F. (2010) · Review of Financial Studies · doi:10.1093/rfs/hhq044 · Cited by 556
Stock Liquidity and Stock Price Crash Risk
Chang, X., Chen, Y., & Zolotoy, L. (2017) · Journal of Financial and Quantitative Analysis · doi:10.1017/s0022109017000473 · Cited by 486
The evolution of stock market efficiency over time: A survey of the empirical literature
Lim, K.-P., & Brooks, R. (2011) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2009.00611.x · Cited by 410
Exit as Governance: An Empirical Analysis
BHARATH, S. T., JAYARAMAN, S., & NAGAR, V. (2013) · The Journal of Finance · doi:10.1111/jofi.12073 · Cited by 382
Metadata
- Authors
- Boehmer, E., & Kelley, E. K.
- Venue
- Review of Financial Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-04-17
- Volume
- 22
- Issue
- 9
- Pages
- 3563-3594
- ISSN
- 0893-9454 (ISSN-L)
- 1465-7368
- OpenAlex
- W3122551880
- Cited by
- 762
- References
- 1
- FWCI
- 51.54
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Institutional Investors and the Informational Efficiency of Prices. https://app.cochat.ai/papers/10.1093/rfs/hhp028
- The paper
- Boehmer, E., & Kelley, E. K. (2009). Institutional Investors and the Informational Efficiency of Prices. Review of Financial Studies. https://doi.org/10.1093/rfs/hhp028
Data sources
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.