The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Illiquidity and Stock Returns II: Cross-section and Time-series Effects
Open accessAbstract
Lou and Shu decompose Amihud’s illiquidity measure (ILLIQ) proposing that its component, the average of inverse dollar trading volume (IDVOL), is sufficient to explain the pricing of illiquidity. Their decomposition misses a component of ILLIQ that is related to illiquidity. We find that this component affects stock returns significantly, both in the cross-section and in time-series. We show that the ILLIQ premium is significantly positive after controlling for mispricing, sentiment, and seasonality. In addition, the aggregate market ILLIQ outperforms market IDVOL in estimating the effect of market illiquidity shocks on realized stock returns.
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
On Persistence in Mutual Fund Performance
Carhart, M. M. (1997) · The Journal of Finance · doi:10.1111/j.1540-6261.1997.tb03808.x · Cited by 17,283
The Economic Consequences of Increased Disclosure
Leuz, C., & Verrecchia, R. E. (2000) · Journal of Accounting Research · doi:10.2307/2672910 · Cited by 2,370
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
Cited by
A Survey of Systemic Risk Analytics
Bisias, D., Flood, M. D., Lo, A. W., & Valavanis, S. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.1983602 · Cited by 331
Metadata
- Authors
- Amihud, Y., & Noh, J.
- Venue
- The Review of Financial Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-07-09
- Volume
- 34
- Issue
- 4
- Pages
- 2101-2123
- ISSN
- 0893-9454 (ISSN-L)
- 1465-7368
- OpenAlex
- W4206220145
- Cited by
- 948
- References
- 4
- FWCI
- 11.65
- 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: Illiquidity and Stock Returns II: Cross-section and Time-series Effects. https://app.cochat.ai/papers/10.1093/rfs/hhaa080
- The paper
- Amihud, Y., & Noh, J. (2021). Illiquidity and Stock Returns II: Cross-section and Time-series Effects. The Review of Financial Studies. https://doi.org/10.1093/rfs/hhaa080
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.