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Predictability of Stock Returns: Robustness and Economic Significance
Abstract
This article examines the robustness of the evidence on predictability of U.S. stock returns, and addresses the issue of whether this predictability could have been historically exploited by investors to earn profits in excess of a buy‐and‐hold strategy in the market index. We find that the predictive power of various economic factors over stock returns changes through time and tends to vary with the volatility of returns. The degree to which stock returns were predictable seemed quite low during the relatively calm markets in the 1960s, but increased to a level where, net of transaction costs, it could have been exploited by investors in the volatile markets of the 1970s.
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Cites
FAMA, E. F. (1991) · The Journal of Finance · doi:10.1111/j.1540-6261.1991.tb04636.x · Cited by 5,350
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Ferson, W. E., & Harvey, C. R. (1999) · The Journal of Finance · doi:10.1111/0022-1082.00148 · Cited by 839
Evaluating multiple classifiers for stock price direction prediction
Ballings, M., Van den Poel, D., Hespeels, N., & Gryp, R. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.05.013 · Cited by 611
Efficient market hypothesis and forecasting
Timmermann, A., & Granger, C. W. J. (2004) · International Journal of Forecasting · doi:10.1016/s0169-2070(03)00012-8 · Cited by 517
Self-citationReal-Time Forecasts of the Real Price of Oil
Baumeister, C., & Kilian, L. (2012) · Journal of Business & Economic Statistics · doi:10.1080/07350015.2011.648859 · Cited by 353
Metadata
- Authors
- PESARAN, M. H., & TIMMERMANN, A.
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 1995-09
- Volume
- 50
- Issue
- 4
- Pages
- 1201-1228
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W2132286633
- Cited by
- 1,033
- References
- 1
- FWCI
- 10.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- PESARAN, M. H., & TIMMERMANN, A. (1995). Predictability of Stock Returns: Robustness and Economic Significance. The Journal of Finance. https://doi.org/10.1111/j.1540-6261.1995.tb04055.x
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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.