损益对冲和累积前景理论

IF 0.5 4区 经济学 Q4 ECONOMICS Mathematical Social Sciences Pub Date : 2024-07-25 DOI:10.1016/j.mathsocsci.2024.07.003
Lorenzo Bastianello , Alain Chateauneuf , Bernard Cornet
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引用次数: 0

摘要

如果两种行为在同一方向上共同变化,则它们具有协整性。本文的主要目的是通过涉及协约性的简单属性,推导出累积前景理论(CPT)的新特征。本文的主要新颖之处在于一个被称为 "收益-损失对冲 "的概念:即使在行为具有协整性的情况下,正负行为的混合也会产生对冲的可能性。这使我们能够澄清 CPT 与 Choquet 期望效用的不同之处。我们的分析是在行为是实值函数的假设下进行的。这就需要对 CPT 进行简单的(片面的)恒定边际效用表示,从而使我们能够清楚地将不确定性感知与结果评估区分开来。
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Gain–loss hedging and cumulative prospect theory

Two acts are comonotonic if they co-vary in the same direction. The main purpose of this paper is to derive a new characterization of Cumulative Prospect Theory (CPT) through simple properties involving comonotonicity. The main novelty is a concept dubbed gain–loss hedging: mixing positive and negative acts creates hedging possibilities even when acts are comonotonic. This allows us to clarify in which sense CPT differs from Choquet expected utility. Our analysis is performed under the assumption that acts are real-valued functions. This entails a simple (piece-wise) constant marginal utility representation of CPT, which allows us to clearly separate the perception of uncertainty from the evaluation of outcomes.

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来源期刊
Mathematical Social Sciences
Mathematical Social Sciences 数学-数学跨学科应用
CiteScore
1.30
自引率
0.00%
发文量
55
审稿时长
59 days
期刊介绍: The international, interdisciplinary journal Mathematical Social Sciences publishes original research articles, survey papers, short notes and book reviews. The journal emphasizes the unity of mathematical modelling in economics, psychology, political sciences, sociology and other social sciences. Topics of particular interest include the fundamental aspects of choice, information, and preferences (decision science) and of interaction (game theory and economic theory), the measurement of utility, welfare and inequality, the formal theories of justice and implementation, voting rules, cooperative games, fair division, cost allocation, bargaining, matching, social networks, and evolutionary and other dynamics models. Papers published by the journal are mathematically rigorous but no bounds, from above or from below, limits their technical level. All mathematical techniques may be used. The articles should be self-contained and readable by social scientists trained in mathematics.
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