Cross-sectional Return Variation

Cross-Sectional Return Variation is a financial metric within return analysis that quantifies the dispersion of asset returns across a set of securities at a single point in time, distinguishing it from time-series variation by focusing on differences in performance among assets rather than over time.

518

Publications

73.8K

Citations

872

Authors

525

Institutions

Publications per year

2017–2026

93

Authors

872

  1. CR
    Campbell R. Harvey

    Duke University, United States

    10 publications · 6K citations

    10

    h-index

  2. RJ
    Ravi Jagannathan

    Northwestern University, United States

    9 publications · 3.7K citations

    9

    h-index

  3. TG
    Turan G. Bali

    Georgetown University, United States

    8 publications · 1.2K citations

    8

    h-index

  4. SV
    Stijn Van Nieuwerburgh

    National Bureau of Economic Research, United States

    6 publications · 538 citations

    6

    h-index

  5. HL
    Hanno Lustig

    University of California, Los Angeles, United States

    5 publications · 1.3K citations

    5

    h-index

1–5 of 872

Venues

  1. SSRN Electronic Journal

    Repository · 144 publications · 7K citations

    42

    h-index

  2. Review of Financial Studies

    20 publications · 8.9K citations

    20

    h-index

  3. The Journal of Finance

    19 publications · 27.2K citations

    19

    h-index

  4. Journal of Financial Economics

    19 publications · 4.2K citations

    17

    h-index

  5. Journal of Financial and Quantitative Analysis

    JFQA · 17 publications · 2.2K citations

    16

    h-index

1–5