The DOI matches its Crossref record.
Reputation and Performance Among Security Analysts
Abstract
Members of the Institutional Investor All‐American Research Team supply more accurate earnings forecasts than other analysts when forecasts are matched by the corporation followed and by the date of brokerage house issuance. This contemporaneous advantage is complemented by a timing advantage; All‐Americans supply forecasts more often than other analysts. Stocks returns immediately following large upward forecast revisions suggest that All‐Americans impact prices more than other analysts. However, there is virtually no difference in returns following large downward revisions. Nevertheless, the collective results suggest a positive relation between reputation and performance, and, assuming that All‐Americans are better paid, pay and performance.
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
Representativeness revisited: Attribute substitution in intuitive judgment.
Kahneman, D., & Frederick, S. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.004 · Cited by 3,476
Slovic, P., Finucane, M., Peters, E., & MacGregor, D. G. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.025 · Cited by 2,349
Support theory: a nonextensional representation of subjective probability
Tversky, A., & Koehler, D. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.547 · Cited by 1,167
Ioannou, I., & Serafeim, G. (2015) · Strategic Management Journal · doi:10.1002/smj.2268 · Cited by 1,124
Changes in Analysts' Information around Earnings Announcements
Barron, O. E., Byard, D., & Kim, O. (2002) · The Accounting Review · doi:10.2308/accr.2002.77.4.821 · Cited by 248
Metadata
- Authors
- STICKEL, S. E.
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 1992-12
- Volume
- 47
- Issue
- 5
- Pages
- 1811-1836
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W2167645707
- Cited by
- 979
- References
- 0
- FWCI
- 8.82
- 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: Reputation and Performance Among Security Analysts. https://app.cochat.ai/papers/10.1111/j.1540-6261.1992.tb04684.x
- The paper
- STICKEL, S. E. (1992). Reputation and Performance Among Security Analysts. The Journal of Finance. https://doi.org/10.1111/j.1540-6261.1992.tb04684.x
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.