Asymptotic properties of generalized shortfall risk measures for heavy-tailed risks
Tiantian Mao,
Gilles Stupfler and
Fan Yang
Insurance: Mathematics and Economics, 2023, vol. 111, issue C, 173-192
Abstract:
We study a general risk measure called the generalized shortfall risk measure, which was first introduced in Mao and Cai (2018). It is proposed under the rank-dependent expected utility framework, or equivalently induced from the cumulative prospect theory. This risk measure can be flexibly designed to capture the decision maker's behavior toward risks and wealth when measuring risk. In this paper, we derive the first- and second-order asymptotic expansions for the generalized shortfall risk measure. Our asymptotic results can be viewed as unifying theory for, among others, distortion risk measures and utility-based shortfall risk measures. They also provide a blueprint for the estimation of these measures at extreme levels, and we illustrate this principle by constructing and studying a quantile-based estimator in a special case. The accuracy of the asymptotic expansions and of the estimator is assessed on several numerical examples.
Keywords: Generalized shortfall risk measure; Asymptotic expansions; Heavy tails; Estimation; Extreme value statistics (search for similar items in EconPapers)
JEL-codes: C02 C13 G10 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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Working Paper: Asymptotic Properties of Generalized Shortfall Risk Measures for Heavy-tailed Risks (2024) 
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Persistent link: https://EconPapers.repec.org/RePEc:eee:insuma:v:111:y:2023:i:c:p:173-192
DOI: 10.1016/j.insmatheco.2023.05.001
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