The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Multifactor models do not explain deviations from the CAPM
Open accessAbstract
A number of studies have presented evidence rejecting the validity of the Sharpe-Lintner capital asset pricing model (CAPM). Possible alternatives include risk-based models, such as multifactor asset pricing models, or nonrisk-based models which address biases in empirical methodology, the existence of market frictions, or the presence of irrational investors. Distinguishing between the alternatives is important for applications such as cost of capital estimation. This paper develops a framework which shows that, ex ante, CAPM deviations due to missing risk factors will be very difficult to detect empirically, whereas deviations resulting from nonrisk-based sources are easily detectable. The results suggest that multifactor pricing models alone do not entirely resolve CAPM deviations.
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
Common risk factors in the returns on stocks and bonds
Fama, E. F., & French, K. R. (1993) · Journal of Financial Economics · doi:10.1016/0304-405x(93)90023-5 · Cited by 25,754
Cited by
Investor Psychology and Asset Pricing
(2001) · The Journal of Finance · doi:10.1111/0022-1082.00379 · Cited by 2,357
Conditioning variables and the cross-section of stock returns
Ferson, W. E., & Harvey, C. R. (1999) · The Journal of Finance · doi:10.1111/0022-1082.00148 · Cited by 839
Evidence on the Characteristics of Cross Sectional Variation in Stock Returns
Daniel, K., & Titman, S. D. (1997) · The Journal of Finance · doi:10.2307/2329554 · Cited by 773
Comparing asset pricing models: an investment perspective
Pástor, Ľ., & Stambaugh, R. F. (2000) · Journal of Financial Economics · doi:10.1016/s0304-405x(00)00044-1 · Cited by 486
Time-Varying Risk Premium in Large Cross-Sectional Equity Data Sets
Gagliardini, P., Ossola, E., & Scaillet, O. (2016) · Econometrica · doi:10.3982/ecta11069 · Cited by 278
Metadata
- Authors
- MacKinlay, A. C.
- Venue
- Journal of Financial Economics
- Publisher
- Elsevier BV
- Published
- 1995-05
- Volume
- 38
- Issue
- 1
- Pages
- 3-28
- ISSN
- 0304-405X (ISSN-L)
- OpenAlex
- W3122344187
- Cited by
- 570
- References
- 1
- FWCI
- 22.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Multifactor models do not explain deviations from the CAPM. https://app.cochat.ai/papers/10.1016/0304-405x(94)00808-e
- The paper
- MacKinlay, A. C. (1995). Multifactor models do not explain deviations from the CAPM. Journal of Financial Economics. https://doi.org/10.1016/0304-405x(94)00808-e
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.