Cross-sectional Return Analysis
Cross-Sectional Return Analysis is a quantitative method in security analysis that examines the variation in asset returns across a set of securities at a single point in time to identify systematic risk factors, mispricing, or predictive anomalies distinct from time-series return patterns.
276
Publications
53.3K
Citations
504
Authors
343
Institutions
Publications per year
2017–2026
75
Parents
276
The Cross‐Section of Expected Stock Returns
Eugene F. Fama, Kenneth R. French · The Journal of Finance · 1992 · 15.1K citations · Full text
The Cross-Section of Expected Stock Returns
Eugene F. Fama, Kenneth R. French · The Journal of Finance · 1992 · 5.5K citations
… and the Cross-Section of Expected Returns
Campbell R. Harvey, Yan Liu · Review of Financial Studies · 2015 · 2K citations · Full text
Asset Growth and the Cross‐Section of Stock Returns
Michael J. Cooper, Huseyin Gulen, Michael J. Schill · The Journal of Finance · 2008 · 1.6K citations
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343

National Bureau of Economic Research
Cambridge, United States
16 h-index
24 publications
7.7K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
7 h-index
8 publications
1.9K citations
Yale University
New Haven, United States
7 h-index
10 publications
1.2K citations
University of Chicago
Chicago, United States
7 h-index
14 publications
32.8K citations

Johns Hopkins University
Baltimore, United States
6 h-index
6 publications
299 citations
Federal Reserve Board of Governors
Washington D.C., United States
6 h-index
8 publications
592 citations

University of Cologne
Cologne, Germany
6 h-index
9 publications
597 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
5 h-index
5 publications
467 citations
1–8 of 343
26 publications · 32.7K citations
25
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Repository · 49 publications · 2.4K citations
25
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14 publications · 5K citations
14
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JFQA · 11 publications · 1.9K citations
11
h-index
10 publications · 2.3K citations
10
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1–5