Quantifying the degree of risk aversion of spectral risk measures

Fuente: arXiv
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1. Verfasser: van Beesten, E. Ruben
Format: Preprint
Veröffentlicht: 2024
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author van Beesten, E. Ruben
author_facet van Beesten, E. Ruben
contents I propose a functional on the space of spectral risk measures that quantifies their ``degree of risk aversion''. This quantification formalizes the idea that some risk measures are ``more risk-averse'' than others. I construct the functional using two axioms: a normalization on the space of CVaRs and a linearity axiom. I present two formulas for the functional and discuss several properties and interpretations.
format Preprint
id arxiv_https___arxiv_org_abs_2408_15675
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantifying the degree of risk aversion of spectral risk measures
van Beesten, E. Ruben
Risk Management
Optimization and Control
I propose a functional on the space of spectral risk measures that quantifies their ``degree of risk aversion''. This quantification formalizes the idea that some risk measures are ``more risk-averse'' than others. I construct the functional using two axioms: a normalization on the space of CVaRs and a linearity axiom. I present two formulas for the functional and discuss several properties and interpretations.
title Quantifying the degree of risk aversion of spectral risk measures
topic Risk Management
Optimization and Control
url https://arxiv.org/abs/2408.15675