Analyzing distortion riskmetrics and weighted entropy for unimodal and symmetric distributions under partial information constraints

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Zuo, Baishuai, Yin, Chuancun
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866911277639532544
author Zuo, Baishuai
Yin, Chuancun
author_facet Zuo, Baishuai
Yin, Chuancun
contents In this paper, we develop the lower and upper bounds of worst-case distortion riskmetrics and weighted entropy for unimodal, and symmetric unimodal distributions when mean and variance information are available. We also consider the sharp upper bounds of distortion riskmetrics and weighted entropy for symmetric distribution under known mean and variance. These results are applied to (weighted) entropies, shortfalls and other risk measures. Specifically, entropies include cumulative Tsallis past entropy, cumulative residual Tsallis entropy of order α, extended Gini coefficient, fractional generalized cumulative residual entropy, and fractional generalized cumulative entropy. Shortfalls include extended Gini shortfall, Gini shortfall, shortfall of cumulative residual entropy, and shortfall of cumulative residual Tsallis entropy. Other risk measures include nth-order expected shortfall, dual power principle and proportional hazard principle.
format Preprint
id arxiv_https___arxiv_org_abs_2504_19725
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Analyzing distortion riskmetrics and weighted entropy for unimodal and symmetric distributions under partial information constraints
Zuo, Baishuai
Yin, Chuancun
Risk Management
Applications
In this paper, we develop the lower and upper bounds of worst-case distortion riskmetrics and weighted entropy for unimodal, and symmetric unimodal distributions when mean and variance information are available. We also consider the sharp upper bounds of distortion riskmetrics and weighted entropy for symmetric distribution under known mean and variance. These results are applied to (weighted) entropies, shortfalls and other risk measures. Specifically, entropies include cumulative Tsallis past entropy, cumulative residual Tsallis entropy of order α, extended Gini coefficient, fractional generalized cumulative residual entropy, and fractional generalized cumulative entropy. Shortfalls include extended Gini shortfall, Gini shortfall, shortfall of cumulative residual entropy, and shortfall of cumulative residual Tsallis entropy. Other risk measures include nth-order expected shortfall, dual power principle and proportional hazard principle.
title Analyzing distortion riskmetrics and weighted entropy for unimodal and symmetric distributions under partial information constraints
topic Risk Management
Applications
url https://arxiv.org/abs/2504.19725