Dynamic equilibrium with insider information and general uninformed agent utility

IF 1.6 3区 经济学 Q3 BUSINESS, FINANCE Mathematical Finance Pub Date : 2024-07-19 DOI:10.1111/mafi.12444
Jerome Detemple, Scott Robertson
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Abstract

We study a continuous time economy where agents have asymmetric information. The informed agent (“”), at time zero, receives a private signal about the risky assets' terminal payoff , while the uninformed agent (“”) has no private signal. is an arbitrary payoff function, and follows a time‐homogeneous diffusion. Crucially, we allow to have von Neumann–Morgenstern preferences with a general utility function on satisfying the standard conditions. This extends previous constructions of equilibria with asymmetric information used when all agents have exponential utilities and enables us to study the impact of U's initial share endowment on equilibrium. To allow for to have general preferences, we introduce a new method to prove existence of a partial communication equilibrium (PCE), where at time 0, receives a less‐informative signal than . In the single asset case, this signal is recoverable by viewing the equilibrium price process over an arbitrarily short period of time, and hence the PCE is a dynamic noisy rational expectations equilibrium. Lastly, when has power (constant relative risk aversion) utility, we identify the equilibrium price in the small and large risk aversion limits.
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具有内幕信息和一般无信息代理效用的动态均衡
我们研究的是一个代理人信息不对称的连续时间经济。知情者("")在零时收到关于风险资产最终收益的私人信号,而不知情者("")没有私人信号。最重要的是,我们允许冯-诺依曼-摩根斯特恩偏好与满足标准条件的一般效用函数。这就扩展了以往所有代理人都具有指数效用时的非对称信息均衡构造,并使我们能够研究 U 的初始股份禀赋对均衡的影响。为了允许存在一般偏好,我们引入了一种新方法来证明部分沟通均衡(PCE)的存在,即在 0 时,U 接收到的信息量小于 。 在单一资产的情况下,通过观察任意短时间内的均衡价格过程,这一信号是可以恢复的,因此,PCE 是一种动态的有噪声理性预期均衡。最后,当具有功率(相对风险规避恒定)效用时,我们可以确定小风险规避和大风险规避极限下的均衡价格。
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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