The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Asset Pricing Models and Financial Market Anomalies
Open accessAbstract
This article develops a framework that applies to single securities to test whether asset pricing models can explain the size, value, and momentum anomalies. Stock level beta is allowed to vary with firm-level size and book-to-market as well as with macroeconomic variables. With constant beta, none of the models examined capture any of the market anomalies. When beta is allowed to vary, the size and value effects are often explained, but the explanatory power of past return remains robust. The past return effect is captured by model mispricing that varies with macroeconomic variables.
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
CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK*
Sharpe, W. F. (1964) · The Journal of Finance · doi:10.1111/j.1540-6261.1964.tb02865.x · Cited by 19,441
The Cross‐Section of Expected Stock Returns
FAMA, E. F., & FRENCH, K. R. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04398.x · Cited by 17,261
Risk, Return, and Equilibrium: Empirical Tests
Fama, E. F., & MacBeth, J. D. (1973) · Journal of Political Economy · doi:10.1086/260061 · Cited by 14,258
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
Multifactor Explanations of Asset Pricing Anomalies
FAMA, E. F., & FRENCH, K. R. (1996) · The Journal of Finance · doi:10.1111/j.1540-6261.1996.tb05202.x · Cited by 6,700
An Intertemporal Capital Asset Pricing Model
Merton, R. C. (1973) · Econometrica · doi:10.2307/1913811 · Cited by 6,508
Liquidity Risk and Expected Stock Returns
Pástor, Ľ., & Stambaugh, R. F. (2003) · Journal of Political Economy · doi:10.1086/374184 · Cited by 5,339
Asset pricing and the bid-ask spread
Amihud, Y., & Mendelson, H. (1986) · Journal of Financial Economics · doi:10.1016/0304-405x(86)90065-6 · Cited by 5,090
Asset Prices in an Exchange Economy
Lucas, R. E. (1978) · Econometrica · doi:10.2307/1913837 · Cited by 5,014
Research works printed but not linked: 13
- 1981, Journal of Finance, 32, 663
- 10.2307/2326304 · DOI
- 1989., Journal of Financial Economics, 19, 3
- 10.2307/2329112 · DOI · Paper page
- 10.2307/2329302 · doi:10.2307/2329302
- 1998, Journal of Banking and Finance, 21, 1625
- 10.2307/2328415 · doi:10.2307/2328415
- 10.2307/2329301 · DOI
- 10.2307/2328797 · DOI
- 10.2307/2328882 · DOI
- 10.2307/2329243 · doi:10.2307/2329243
- 10.2307/2977249 · DOI
- 10.2307/2977928 · DOI
Cited by
Size, value, and momentum in international stock returns
Fama, E. F., & French, K. R. (2012) · Journal of Financial Economics · doi:10.1016/j.jfineco.2012.05.011 · Cited by 1,767
Machine Learning vs. Economic Restrictions: Evidence from Stock Return Predictability
Avramov, D., Cheng, S., & Metzker, L. (2023) · Management Science · doi:10.1287/mnsc.2022.4449 · Cited by 217
Self-citationA new anomaly: the cross-sectional profitability of technical analysis
Han, Y., Yang, K., & Zhou, G. (2013) · Journal of Financial and Quantitative Analysis · doi:10.1017/s0022109013000586 · Cited by 231
Machine Learning Versus Economic Restrictions: Evidence from Stock Return Predictability
Avramov, D., Cheng, S., & Metzker, L. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3450322 · Cited by 74
Self-citationEmpirical asset pricing via machine learning: evidence from the European stock market
Drobetz, W., & Otto, T. (2021) · Journal of Asset Management · doi:10.1057/s41260-021-00237-x · Cited by 61
Metadata
- Authors
- Avramov, D., & Chordia, T.
- Venue
- Review of Financial Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2006
- Volume
- 19
- Issue
- 3
- Pages
- 1001-1040
- ISSN
- 0893-9454 (ISSN-L)
- 1465-7368
- OpenAlex
- W3125452688
- Cited by
- 523
- References
- 65
- FWCI
- 32.92
- Type
- journal article
- Language
- en
- Open access
- green
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: Asset Pricing Models and Financial Market Anomalies. https://app.cochat.ai/papers/10.1093/rfs/hhj025
- The paper
- Avramov, D., & Chordia, T. (2006). Asset Pricing Models and Financial Market Anomalies. Review of Financial Studies. https://doi.org/10.1093/rfs/hhj025
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.