The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Century of Stock Market Liquidity and Trading Costs
Open accessAbstract
I assemble and examine an annual time series of bid–ask spreads on Dow Jones stocks from 1900 to 2000 and average commission rates for trading NYSE stocks since 1925. Spreads are cyclical, especially during periods of market turmoil. The sum of half‐spreads and one‐way commissions, multiplied by annual turnover, estimates the aggregate cost of trading and drives a wedge between gross and net equity returns. This difference explains only a small part of the observed equity premium, though I show that the gross equity premium is perhaps 1% lower today than it was early in the 1900's. Finally, I find that the transaction cost measures (spreads and turnover), which serve as a proxy for liquidity, predict stock returns 1 year or more ahead and dominate traditional measures such as the dividend yield. The evidence suggests aggregate liquidity is a determinant of expected stock market 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
Odean, T. (1999) · American Economic Review · doi:10.1257/aer.89.5.1279 · Cited by 2,247
Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement
Hodrick, R. J. (1992) · Review of Financial Studies · doi:10.1093/rfs/5.3.351 · Cited by 1,523
Cited by
Investor Sentiment and the Cross‐Section of Stock Returns
BAKER, M., & WURGLER, J. (2006) · The Journal of Finance · doi:10.1111/j.1540-6261.2006.00885.x · Cited by 6,049
Asset pricing with liquidity risk
ACHARYA, V, & PEDERSEN, L. (2005) · Journal of Financial Economics · doi:10.1016/j.jfineco.2004.06.007 · Cited by 2,773
Amihud, Y., Mendelson, H., & Pedersen, L. H. (2005) · Foundations and Trends® in Finance · doi:10.1561/0500000003 · Cited by 820
The illusory nature of momentum profits
Lesmond, D. A., Schill, M. J., & Zhou, C. (2004) · Journal of Financial Economics · doi:10.1016/s0304-405x(03)00206-x · Cited by 657
Testing Asymmetric-Information Asset Pricing Models
Kelly, B., & Ljungqvist, A. (2012) · Review of Financial Studies · doi:10.1093/rfs/hhr134 · Cited by 580
Metadata
- Authors
- Jones, C. M.
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2002
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W1825609847
- Cited by
- 461
- References
- 3
- Type
- posted content
- 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
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.