The DOI matches its Crossref record.
Special Information and Insider Trading
Abstract
Trading by corporate officers, directors, and large stockholders, who are commonly called insiders, commands widespread attention in the financial community. Academicians are interested in the amount of special information insiders possess, as well as in the profit they earn from such knowledge. The average investor seeks out useful information in the Official Summary of Insider Trading,' the monthly report listing the transactions of corporate officials. Previous research on corporate insiders has focused on the profitability of their trading. Some researchers, examining months of intensive insider activity, have concluded that insiders can predict stock price movement up to 6 months subsequent to trading. Rogoff for example, examines 45 companies in which, within a single month, three or more insiders buy their company's stock and no insiders sell the stock.2 He finds that the returns to the insiders of these companies in the following 6 months are on average 91/2 percent greater than the return to the stock market as a whole. Glass examines 14 different calendar months and selects the eight securities with the greatest excess of buyers to sellers among insiders within a month.3 He finds that the average return on these securities is 10 percent above the return on the stock market as a whole in the 7 months following the individual months of intensive buying. Lorie and Niederhoffer investigate stock performance following months in which there are at least two more buyers than sellers or at least two more sellers than buyers among the insiders of a company.4 They find that a security experiencing an intensive buying month is more likely to advance than to decline relative to the market in the 6 months subsequent to the event. Conversely, a security experiencing an intensive selling month is more likely to decline than to advance relative to the market in the 6 months subsequent to the event. Driscoll examines the trading by insiders prior to dividend changes
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
Cited by
FAMA, E. F. (1991) · The Journal of Finance · doi:10.1111/j.1540-6261.1991.tb04636.x · Cited by 5,350
Fama (1998) · doi:10.1016/s0304-405x(98)00026-9 · Cited by 2,576
Improved Methods for Tests of Long‐Run Abnormal Stock Returns
Lyon, J. D., Barber, B. M., & Tsai, C. (1999) · The Journal of Finance · doi:10.1111/0022-1082.00101 · Cited by 1,828
FAMA, E. F. (1991) · The Journal of Finance · doi:10.2307/2328565 · Cited by 1,271
Market Frictions, Price Delay, and the Cross-Section of Expected Returns
Hou, K., & Moskowitz, T. J. (2005) · Review of Financial Studies · doi:10.1093/rfs/hhi023 · Cited by 1,083
Metadata
- Authors
- Jaffe, J. F.
- Venue
- The Journal of Business
- Publisher
- University of Chicago Press
- Published
- 1974-01
- Volume
- 47
- Issue
- 3
- Pages
- 410
- ISSN
- 0021-9398 (ISSN-L)
- 1537-5374
- OpenAlex
- W1979436160
- Cited by
- 1,231
- References
- 0
- FWCI
- 23.01
- 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: Special Information and Insider Trading. https://app.cochat.ai/papers/10.1086/295655
- The paper
- Jaffe, J. F. (1974). Special Information and Insider Trading. The Journal of Business. https://doi.org/10.1086/295655
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.