The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Evidence of Predictable Behavior of Security Returns
Abstract
This paper presents new empirical evidence of predictability of individual stock returns. The negative first‐order serial correlation in monthly stock returns is highly significant. Furthermore, significant positive serial correlation is found at longer lags, and the twelve‐month serial correlation is particularly strong. Using the observed systematic behavior of stock returns, one‐step‐ahead return forecasts are made and ten portfolios are formed from the forecasts. The difference between the abnormal returns on the extreme decile portfolios over the period 1934–1987 is 2.49 percent per month.
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
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
Self-citationFAMA, E. F. (1991) · The Journal of Finance · doi:10.1111/j.1540-6261.1991.tb04636.x · Cited by 5,350
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
Simple technical trading rules and the stochastic properties of stock returns
BROCK, W., LAKONISHOK, J., & LeBARON, B. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04681.x · Cited by 2,301
… and the Cross-Section of Expected Returns
Harvey, C. R., Liu, Y., & Zhu, H. (2016) · Review of Financial Studies · doi:10.1093/rfs/hhv059 · Cited by 2,119
Metadata
- Authors
- JEGADEESH, N.
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 1990-07
- Volume
- 45
- Issue
- 3
- Pages
- 881-898
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W2131177033
- Cited by
- 2,694
- References
- 1
- FWCI
- 16.68
- 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: Evidence of Predictable Behavior of Security Returns. https://app.cochat.ai/papers/10.1111/j.1540-6261.1990.tb05110.x
- The paper
- JEGADEESH, N. (1990). Evidence of Predictable Behavior of Security Returns. The Journal of Finance. https://doi.org/10.1111/j.1540-6261.1990.tb05110.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.