数学
Choquet积分
单调函数
乔奎特理论
加法函数
稳健性(进化)
班级(哲学)
正多边形
不变(物理)
表征(材料科学)
纯数学
应用数学
数理经济学
离散数学
次导数
凸优化
数学分析
人工智能
计算机科学
模糊逻辑
纳米技术
基因
化学
生物化学
材料科学
数学物理
几何学
作者
Ruodu Wang,Yunran Wei,Gordon E. Willmot
标识
DOI:10.1287/moor.2019.1020
摘要
This article contains various results on a class of nonmonotone, law-invariant risk functionals called the signed Choquet integrals. A functional characterization via comonotonic additivity is established along with some theoretical properties, including six equivalent conditions for a signed Choquet integral to be convex. We proceed to address two practical issues currently popular in risk management, namely robustness (continuity) issues and risk aggregation with dependence uncertainty, for signed Choquet integrals. Our results generalize in several directions those in the literature of risk functionals. From the results obtained in this paper, we see that many profound and elegant mathematical results in the theory of risk measures hold for the general class of signed Choquet integrals; thus, they do not rely on the assumption of monotonicity.
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