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Fang, Y., & Post, T. (2017). Higher-Degree Stochastic Dominance Optimality and Efficiency. European Journal of Operational Research, 261, 984-993.
https://doi.org/10.1016/j.ejor.2017.03.035

has been cited by the following article:

• TITLE: Stochastic Dominance of Any Type and Any Integer Degree, and Expected Utility: A Unifying Approach

  AUTHORS: André Lapidus

  KEYWORDS: Stochastic Dominance, Expected Utility, Risk, Decision

  JOURNAL NAME: Theoretical Economics Letters, Vol.16 No.5, October 30, 2026

  ABSTRACT: This paper provides a general framework for a unifying treatment of stochastic dominance of any integer degree and of any type (direct or inverse for each final or intermediate level). It gives the conditions for the congruence between stochastic dominance and classes of utility functions in this general framework and shows, as particular cases, the properties of some varieties of stochastic dominance usually neglected in standard literature.