最优预期效用风险度量

IF 1.3 Q2 STATISTICS & PROBABILITY
S. Geissel, Jörn Sass, F. Seifried
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引用次数: 17

摘要

摘要引入了最优期望效用(OEU)风险测度,研究了其主要性质,并将其与替代风险测度和确定性等价概念进行了比较。从投资者的角度来看,OEU最大限度地提高了当前可用的资本总额和未来资本的确定性等额。据我们所知,如果效用函数u具有恒定的相对风险厌恶,OEU是唯一现有的基于效用的风险度量(非平凡且)一致。我们提出了几种不同的风险度量,可以用特殊的选择u来推导,并说明OEU比风险值和风险平均值对财务损失概率的变化更敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal expected utility risk measures
Abstract This paper introduces optimal expected utility (OEU) risk measures, investigates their main properties and puts them in perspective to alternative risk measures and notions of certainty equivalents. By taking the investor’s point of view, OEU maximizes the sum of capital available today and the certainty equivalent of capital in the future. To the best of our knowledge, OEU is the only existing utility-based risk measure that is (non-trivial and) coherent if the utility function u has constant relative risk aversion. We present several different risk measures that can be derived with special choices of u and illustrate that OEU is more sensitive than value at risk and average value at risk with respect to changes of the probability of a financial loss.
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来源期刊
Statistics & Risk Modeling
Statistics & Risk Modeling STATISTICS & PROBABILITY-
CiteScore
1.80
自引率
6.70%
发文量
6
期刊介绍: Statistics & Risk Modeling (STRM) aims at covering modern methods of statistics and probabilistic modeling, and their applications to risk management in finance, insurance and related areas. The journal also welcomes articles related to nonparametric statistical methods and stochastic processes. Papers on innovative applications of statistical modeling and inference in risk management are also encouraged. Topics Statistical analysis for models in finance and insurance Credit-, market- and operational risk models Models for systemic risk Risk management Nonparametric statistical inference Statistical analysis of stochastic processes Stochastics in finance and insurance Decision making under uncertainty.
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