Stochastic Dominance Analysis

Stochastic Dominance Analysis is a decision-theoretic framework used in risk assessment that, by comparing cumulative distribution functions of random variables, enables the ranking of risky alternatives according to their probability-based dominance criteria under varying levels of risk aversion.

775

Publications

41.6K

Citations

1.2K

Authors

641

Institutions

Publications per year

2017–2026

96

Authors

1.2K

  1. WW
    Wing‐Keung Wong

    Asia University, Taiwan

    45 publications · 2.3K citations

    27

    h-index

  2. TP
    Thierry Post

    Erasmus University Rotterdam, Netherlands

    24 publications · 1.4K citations

    18

    h-index

  3. AR
    Andrzej Ruszczyński

    Rutgers, The State University of New Jersey, United States

    19 publications · 2.5K citations

    16

    h-index

  4. HL
    Haim Levy

    Hebrew University of Jerusalem, Israel

    18 publications · 1.9K citations

    14

    h-index

  5. HH
    Hooi Hooi Lean

    Universiti Sains Malaysia, Malaysia

    14 publications · 1.1K citations

    12

    h-index

1–5 of 1.2K

Venues

  1. Management Science

    43 publications · 3.8K citations

    32

    h-index

  2. European Journal of Operational Research

    34 publications · 2.1K citations

    24

    h-index

  3. Journal of Financial and Quantitative Analysis

    JFQA · 25 publications · 1.4K citations

    22

    h-index

  4. SSRN Electronic Journal

    Repository · 39 publications · 995 citations

    18

    h-index

  5. American Journal of Agricultural Economics

    20 publications · 969 citations

    16

    h-index

1–5