Set-valued Star-Shaped Risk Measures

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Nie, Bingchu, Tian, Dejian, Jiang, Long
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866912239473131520
author Nie, Bingchu
Tian, Dejian
Jiang, Long
author_facet Nie, Bingchu
Tian, Dejian
Jiang, Long
contents In this paper, we introduce a new class of set-valued risk measures, named set-valued star-shaped risk measures. Motivated by the results of scalar monetary and star-shaped risk measures, this paper investigates the representation theorems in the set-valued framework. It is demonstrated that set-valued risk measures can be represented as the union of a family of set-valued convex risk measures, and set-valued normalized star-shaped risk measures can be represented as the union of a family of set-valued normalized convex risk measures. The link between set-valued risk measures and set-valued star-shaped risk measures is also established.
format Preprint
id arxiv_https___arxiv_org_abs_2402_18014
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Set-valued Star-Shaped Risk Measures
Nie, Bingchu
Tian, Dejian
Jiang, Long
Risk Management
91G70
In this paper, we introduce a new class of set-valued risk measures, named set-valued star-shaped risk measures. Motivated by the results of scalar monetary and star-shaped risk measures, this paper investigates the representation theorems in the set-valued framework. It is demonstrated that set-valued risk measures can be represented as the union of a family of set-valued convex risk measures, and set-valued normalized star-shaped risk measures can be represented as the union of a family of set-valued normalized convex risk measures. The link between set-valued risk measures and set-valued star-shaped risk measures is also established.
title Set-valued Star-Shaped Risk Measures
topic Risk Management
91G70
url https://arxiv.org/abs/2402.18014