Probabilistic risk aversion, defined through quasi-convexity in probabilistic mixtures, is a common useful property in decision analysis. We study a general class of non-monotone mappings, called the generalized rank-dependent functions, which includes the preference models of expected utilities, dual utilities, and rank-dependent utilities as special cases, as well as signed Choquet functions used in risk management. Our results fully characterize probabilistic risk aversion for generalized rank-dependent functions: This property is determined by the distortion function, which is precisely one of the two cases: those that are convex and those that correspond to scaled quantile-spread mixtures. Our result also leads to seven equivalent conditions for quasi-convexity in probabilistic mixtures of dual utilities and signed Choquet functions. As a consequence, although probabilistic risk aversion is quite different from the classic notion of strong risk aversion for generalized rank-dependent functions, these two notions coincide for dual utilities under an additional continuity assumption.
Department of Statistics and Actuarial Science, University of Waterloo, Canada（滑铁卢大学统计与精算科学系）；Center for Algorithms, Data, and Market Design at Yale (CADMY), Yale University, CT（耶鲁大学算法、数据与市场设计中心）
Comparative Statics of Information Acquisition and Risk Aversion
Universidad Carlos III（卡洛斯三世大学）；University of Mannheim（曼海姆大学）；CNRS – École Polytechnique（法国国家科学研究中心-巴黎综合理工学院）；Department of Mathematics, London School of Economics（伦敦政治经济学院数学系）；Brown University（布朗大学）
Optimal life-cycle consumption and investment decisions under age-dependent risk preferences
在本文中，我们解决的问题，最大化的期望效用的未来消费和终端财富，以确定最佳的养老金或生命周期的基金战略，为一组养老基金投资者。该设置与DC养老金计划密切相关，其中考虑了额外的（个人）消费。消费率服从于随时间变化的最低水平，并且终端财富服从于终端下限。此外，消费和终端财富之间的偏好以及风险规避的跨期系数是随时间变化的，因此取决于所考虑的养老金队列的年龄。在Black-Scholes金融市场框架和双曲绝对风险厌恶（HARA）效用函数的情况下，计算了最优消费和投资策略。我们概括了Ye（2008）（2008年美国控制会议，356-362），通过增加一个年龄依赖的风险厌恶系数，并扩展Steffensen（2011）（Journal of Economic Dynamics and Control，35（5），659-667），Hentschel（2016）（博士论文，乌尔姆大学）和Aase（2017）（Stochastics，89（1），115-141）通过考虑消费与终端财富的组合，并通过应用HARA效用函数允许消费和终端财富地板。一个案例研究拟合几个模型，以现实的，随时间变化的生命周期消费和相对的投资概况表明，只有我们的扩展模型随时间变化的偏好参数提供了足够的灵活性，一个适当的适合。这对（私人）养恤金投资或一般养恤金保险的生命周期产品特别重要。
