Stochastic Dominance

Stochastic Dominance is a probabilistic criterion used in decision theory to establish a preference ordering among uncertain prospects, whereby one distribution is said to stochastically dominate another if it yields at least as high a cumulative probability of achieving any given outcome and strictly higher for some outcome, thereby reflecting a rational preference under assumptions of risk aversion or utility structure.

1.1K

Publications

62.2K

Citations

1.6K

Authors

800

Institutions

Publications per year

2017–2026

154

Authors

1.6K

  1. WW
    Wing‐Keung Wong

    Asia University, Taiwan

    47 publications · 2.4K citations

    28

    h-index

  2. TP
    Thierry Post

    Erasmus University Rotterdam, Netherlands

    27 publications · 1.5K citations

    19

    h-index

  3. AR
    Andrzej Ruszczyński

    Rutgers, The State University of New Jersey, United States

    20 publications · 2.5K citations

    17

    h-index

  4. HL
    Haim Levy

    Hebrew University of Jerusalem, Israel

    21 publications · 2.3K citations

    16

    h-index

  5. PC
    Peter C. Fishburn

    AT&T (United States), United States

    13 publications · 860 citations

    13

    h-index

1–5 of 1.6K

Venues

  1. Management Science

    54 publications · 4.6K citations

    36

    h-index

  2. European Journal of Operational Research

    39 publications · 2.4K citations

    26

    h-index

  3. Journal of Financial and Quantitative Analysis

    JFQA · 28 publications · 1.6K citations

    24

    h-index

  4. Journal of Economic Theory

    JET · 27 publications · 1.7K citations

    23

    h-index

  5. SSRN Electronic Journal

    Repository · 52 publications · 1.3K citations

    21

    h-index

1–5