Moment inequalities for higher-order (inverse) stochastic dominance

Fuente: arXiv
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Main Authors: Guan, Meng, Zou, Zhenfeng, Hu, Taizhong
Format: Preprint
Published: 2026
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author Guan, Meng
Zou, Zhenfeng
Hu, Taizhong
author_facet Guan, Meng
Zou, Zhenfeng
Hu, Taizhong
contents Stochastic dominance has been studied extensively, particularly in the finance and economics literature. In this paper, we obtain two results. First, necessary conditions for higher-order inverse stochastic dominance are developed. These conditions, which involve moment inequalities of the minimum order statistics, are analogous to the ones obtained by Fishburn (1980b) for usual higher-order stochastic dominance. Second, we investigate how background risk variables influence usual higher-order stochastic dominance. The main result generalizes the ones in Pomatto et al. (2020) from the first-order and second-order stochastic dominance to the higher-order.
format Preprint
id arxiv_https___arxiv_org_abs_2601_03541
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Moment inequalities for higher-order (inverse) stochastic dominance
Guan, Meng
Zou, Zhenfeng
Hu, Taizhong
Probability
Stochastic dominance has been studied extensively, particularly in the finance and economics literature. In this paper, we obtain two results. First, necessary conditions for higher-order inverse stochastic dominance are developed. These conditions, which involve moment inequalities of the minimum order statistics, are analogous to the ones obtained by Fishburn (1980b) for usual higher-order stochastic dominance. Second, we investigate how background risk variables influence usual higher-order stochastic dominance. The main result generalizes the ones in Pomatto et al. (2020) from the first-order and second-order stochastic dominance to the higher-order.
title Moment inequalities for higher-order (inverse) stochastic dominance
topic Probability
url https://arxiv.org/abs/2601.03541