随机微分博弈中的非位置性、非线性和时间不一致性

IF 1.6 3区 经济学 Q3 BUSINESS, FINANCE
Qian Lei, Chi Seng Pun
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引用次数: 0

摘要

本文研究了一类非局部全非线性抛物线系统的良好求解性,这些系统嵌套了汉密尔顿-雅各比-贝尔曼(HJB)均衡系统,它是具有时间不一致(TIC)偏好的随机微分博弈(SDG)的时间一致纳什均衡点的特征。抛物线系统的非位置性源于系统的流动特征(由外部时间参数控制)。本文证明了此类系统解的存在性和唯一性结果以及稳定性分析。我们首先获得了任意时间范围内线性情况的结果,然后在一些合适的条件下将其扩展到准线性和全非线性情况。我们提供了两个 TIC SDG 例子来说明具有全局可解性的金融应用。此外,利用良好拟合结果,我们建立了存在非局部性(时间不一致性)的一般多维费曼-卡方。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonlocality, nonlinearity, and time inconsistency in stochastic differential games

This paper studies the well-posedness of a class of nonlocal fully nonlinear parabolic systems, which nest the equilibrium Hamilton–Jacobi–Bellman (HJB) systems that characterize the time-consistent Nash equilibrium point of a stochastic differential game (SDG) with time-inconsistent (TIC) preferences. The nonlocality of the parabolic systems stems from the flow feature (controlled by an external temporal parameter) of the systems. This paper proves the existence and uniqueness results as well as the stability analysis for the solutions to such systems. We first obtain the results for the linear cases for an arbitrary time horizon and then extend them to the quasilinear and fully nonlinear cases under some suitable conditions. Two examples of TIC SDG are provided to illustrate financial applications with global solvability. Moreover, with the well-posedness results, we establish a general multidimensional Feynman–Kac formula in the presence of nonlocality (time inconsistency).

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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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