Common risk factors in the returns on stocks and bonds
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Machine learning methods such as support vector machines and artificial neural networks are rarely considered by financial economists, who prefer econometric, often linear methods.
“Such methods are rarely considered by financial economists who prefer econometric, often linear methods (Campbell & Thompson, 2008; Fama & French, 1993, 2012).”
From Bridging the divide in financial market forecasting: machine learners vs. financial economists (2016) · cites this paper as Fama & French, 1993
The risk of common stock investments can be parsimoniously summarized as risk related to the market, firm size, and a firm's book-to-market ratio.
“Fama and French (1993) argue that the risk of common stock investments can be parsimoniously summarized as risk related to the market, firm size, and a firm's book-to-market ratio.”
From Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors (2000) · cites this paper as Fama and French (1993)
The three-factor model provides a reasonable adjustment for the small stock tilt of individual investors.
“The threefactor model provides a reasonable adjustment for this small stock tilt.”
From Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors (2000) · cites this paper as Fama and French (1993)
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- Authors
- Fama, E. F., & French, K. R.
- Affiliations
- University of Chicago (US)
- Corresponding author
- Fama, Eugene F.
- Venue
- Journal of Financial Economics
- Publisher
- Elsevier BV
- Published
- 1993-02
- Volume
- 33
- Issue
- 1
- Pages
- 3-56
- ISSN
- 0304-405X (ISSN-L)
- OpenAlex
- W1995834279
- Cited by
- 25,754
- References
- 31
- Citations by year
- 2026: 1224 · 2025: 1368 · 2024: 1316 · 2023: 1281 · 2022: 1315 · 2021: 1369 · 2020: 1403 · 2019: 1352 · 2018: 1300 · 2017: 1347 · 2016: 1220 · 2015: 1238 · 2014: 1204 · 2013: 1086 · 2012: 1223
- FWCI
- 45.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Financial Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Social Sciences › Business, Management and Accounting › Accounting › Financial Analysis and Corporate Governance
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Risk and Volatility Modeling
- Keywords
- shared risk factors, stock returns, bond returns, market factors, firm size, book-to-market equity, bond maturity, default risk, asset pricing
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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.
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