Technical Note—Ranking Distributions When Only Means and Variances Are Known

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Alfred Müller, Marco Scarsini, Ilia Tsetlin, Robert L. Winkler

2022 Operations Research Vol. 70 Issue 5 Article Cited by 4 Quartile

Abstract

Consider a choice between two random variables, for which only means and variances are known. Is it possible to rank them by putting some constraints on risk preferences? We provide such a ranking by bounding how much marginal utility can change. Such bounds enable us to rank all distributions with given means and variances by first-order almost-stochastic dominance. We show how our results can be used to compare a risky project and a sure payoff and also provide a new connection between the Sharpe and Omega ratios from finance. © 2021 INFORMS.

Affiliations

Department Mathematik, Universität Siegen, Siegen, 57072, Germany; Dipartimento di Economia e Finanza, Luiss University, Roma, 00197, Italy; INSEAD, Singapore, 138676, Singapore; Fuqua School of Business, Duke University, Durham, 27708, NC, United States