The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Predicting returns in the stock and bond markets
Open accessAbstract
Several predetermined variables that reflect levels of bond and stock prices appear to predict returns on common stocks of firms of various sizes, long-term bonds of various default risks, and default-free bonds of various maturities. The returns on small-firm stocks and low-grade bonds are more highly correlated in January than in the rest of the year with previous levels of asset prices, especially prices of small-firm stocks. Seasonality is found in several conditional risk measures, but such seasonality is unlikely to explain, and in some cases is opposite to, the seasonal found in mean 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
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
Cited by
FAMA, E. F. (1991) · The Journal of Finance · doi:10.1111/j.1540-6261.1991.tb04636.x · Cited by 5,350
A comprehensive look at the empirical performance of equity premium prediction
Welch, I., & Goyal, A. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhm014 · Cited by 3,987
Predicting excess stock returns out of sample: Can anything beat the historical average?
Campbell, J. Y., & Thompson, S. B. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhm055 · Cited by 2,919
The Efficient Market Hypothesis and Its Critics
Malkiel, B. G. (2003) · Journal of Economic Perspectives · doi:10.1257/089533003321164958 · Cited by 2,161
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
FAMA, E. F. (1991) · The Journal of Finance · doi:10.2307/2328565 · Cited by 1,271
The Dog That Did Not Bark: A Defense of Return Predictability
Cochrane, J. H. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhm046 · Cited by 1,227
Forecasting the equity risk premium: the role of technical indicators
Neely, C. J., Rapach, D. E., Tu, J., & Zhou, G. (2014) · Management Science · doi:10.1287/mnsc.2013.1838 · Cited by 1,003
Predictable Risk and Returns in Emerging Markets
Harvey, C. R. (1995) · Review of Financial Studies · doi:10.1093/rfs/8.3.773 · Cited by 982
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
Forecasting Stock Index Movement: A Comparison of Support Vector Machines and Random Forest
Kumar, M., & Thenmozhi, M. (2006) · doi:10.2139/ssrn.876544 · Cited by 244
A trend factor: any economic gains from using information over investment horizons?
Han, Y., Zhou, G., & Zhu, Y. (2016) · Journal of Financial Economics · doi:10.1016/j.jfineco.2016.01.029 · Cited by 202
A neural network with a case based dynamic window for stock trading prediction
Chang, P.-C., Liu, C.-H., Lin, J.-L., Fan, C.-Y., & Ng, C. S. P. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.08.077 · Cited by 160
Technical trading strategies and return predictability: NYSE
Kwon, K.-Y., & Kish, R. J. (2002) · Applied Financial Economics · doi:10.1080/09603100010016139 · Cited by 128
Metadata
- Authors
- Keim, D. B., & Stambaugh, R. F.
- Venue
- Journal of Financial Economics
- Publisher
- Elsevier BV
- Published
- 1986-12
- Volume
- 17
- Issue
- 2
- Pages
- 357-390
- ISSN
- 0304-405X (ISSN-L)
- OpenAlex
- W1975161917
- Cited by
- 1,711
- References
- 1
- FWCI
- 37.76
- 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
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.