Time-inconsistent contract theory

IF 1.6 3区 经济学 Q3 BUSINESS, FINANCE
Camilo Hernández, Dylan Possamaï
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Abstract

This paper investigates the moral hazard problem in finite horizon with both continuous and lump-sum payments, involving a time-inconsistent sophisticated agent and a standard utility maximizer principal: Building upon the so-called dynamic programming approach in Cvitanić et al. (2018) and the recently available results in Hernández and Possamaï (2023), we present a methodology that covers the previous contracting problem. Our main contribution consists of a characterization of the moral hazard problem faced by the principal. In particular, it shows that under relatively mild technical conditions on the data of the problem, the supremum of the principal's expected utility over a smaller restricted family of contracts is equal to the supremum over all feasible contracts. Nevertheless, this characterization yields, as far as we know, a novel class of control problems that involve the control of a forward Volterra equation via Volterra-type controls, and infinite-dimensional stochastic target constraints. Despite the inherent challenges associated with such a problem, we study the solution under three different specifications of utility functions for both the agent and the principal, and draw qualitative implications from the form of the optimal contract. The general case remains the subject of future research. We illustrate some of our results in the context of a project selection contracting problem between an investor and a time-inconsistent manager.

Abstract Image

时间不一致契约理论
本文研究了有限视界下的道德风险问题,包括连续支付和一次性支付,涉及时间不一致的复杂代理和标准效用最大化主体:基于cvitanic等人(2018)中所谓的动态规划方法以及Hernández和Possamaï(2023)中最近可用的结果,我们提出了一种涵盖先前合同问题的方法。我们的主要贡献包括对委托人所面临的道德风险问题的描述。特别是,在问题数据的相对温和的技术条件下,委托人的期望效用在一个较小的有限契约族上的最优值等于在所有可行契约上的最优值。然而,据我们所知,这种表征产生了一类新的控制问题,其中包括通过Volterra型控制控制正向Volterra方程,以及无限维随机目标约束。尽管这一问题存在固有的挑战,但我们研究了代理和委托人在三种不同的效用函数规范下的解决方案,并从最优契约的形式中得出定性的启示。一般情况仍是未来研究的主题。我们在投资者和时间不一致的管理者之间的项目选择合同问题的背景下说明了我们的一些结果。
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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来源期刊
Mathematical Finance
Mathematical Finance 数学-数学跨学科应用
CiteScore
4.10
自引率
6.20%
发文量
27
审稿时长
>12 weeks
期刊介绍: Mathematical Finance seeks to publish original research articles focused on the development and application of novel mathematical and statistical methods for the analysis of financial problems. The journal welcomes contributions on new statistical methods for the analysis of financial problems. Empirical results will be appropriate to the extent that they illustrate a statistical technique, validate a model or provide insight into a financial problem. Papers whose main contribution rests on empirical results derived with standard approaches will not be considered.
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