Risk Aversion: Differential Conditions for the Iso-Utility Curves with Positive Slope in Transformed Two Parameter Distributions

Fausto Corradin, D. Sartore
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Abstract

The condition of Risk Aversion implies that the Utility Function must be concave. We take into account the dependence of the Utility Function on the return that has any type of two-parameter distribution; it is possible to define Risk and Target, the former may be the Standard Deviation of the return, and the latter is usually the Expected value of the return, as a generic function of these two parameters. Considering the 3D space of Risk, Target and Expected Utility, this paper determines the Differential Conditions for these three functions so that the Expected Utility Function depends decreasingly on Risk and increasingly on Target, that means the iso-utility curves have positive slope in the plane of Risk and Target. As a specific case, we discuss these conditions in the case of the CRRA Utility Function and the Truncated Normal distribution. Furthermore, different measures of Risk are chosen, such as Value at Risk (VaR) and Expected Shortfall (ES), to verify if these measures maintain a positive slope of the iso-utility curves in the Risk-Target plane.
风险规避:变换后的两参数分布中斜率为正的等效用曲线的微分条件
风险厌恶的条件意味着效用函数必须是凹的。我们考虑到效用函数对具有任何类型的双参数分布的收益的依赖;可以定义风险和目标,前者可以是收益的标准差,后者通常是收益的期望值,是这两个参数的一般函数。考虑到风险、目标和期望效用的三维空间,本文确定了这三个函数的微分条件,使得期望效用函数对风险的依赖越来越小,对目标的依赖越来越大,即等效用曲线在风险和目标平面上斜率为正。作为一个具体的例子,我们在CRRA效用函数和截尾正态分布的情况下讨论这些条件。此外,选择不同的风险度量,如风险值(VaR)和预期缺口(ES),以验证这些度量是否在风险-目标平面上保持等效用曲线的正斜率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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