论文标题

许多玩家的相对投资消费游戏中的远期公用事业和市场调整

Forward utility and market adjustments in relative investment-consumption games of many players

论文作者

Reis, Goncalo dos, Platonov, Vadim

论文摘要

我们研究了一个投资组合管理问题,其中包括许多玩家和平均现场竞争,投资和消费以及在远期绩效过程(FPP)框架下的相对绩效问题。我们专注于使用Power(CRRA)类型FPP的代理,以在共同的噪声默顿市场模型下用于投资消费优化问题。我们解决了多游戏机和平均野外游戏,为解决方案提供了封闭形式的表达式,其中前者的极限产生了后者。在我们的案例中,FPP框架为消费组件提供了连续的解决方案,因为我们是在市场参数“市场风险相对消耗偏好”中的市场参数。该参数允许代理商将其偏好偏爱,因为在竞争情况下,该参数反映了共同的市场行为。我们在竞争和无竞争下显示了FPP框架,使代理可以像递归实用程序框架下的爱泼斯坦 - Zin偏好一样,消除她的风险耐受性和静置替代的弹性(EIS)。反过来,这可以对代理商的消费“收入”和“替换”制度进行更精确的分析,并具有独立利益的,激发了FPP框架下对EIS的一系列新经济学研究。我们发现,竞争以非平凡的方式重新恢复了代理商对消费的看法。我们提供结果的数值插图。

We study a portfolio management problem featuring many-player and mean field competition, investment and consumption, and relative performance concerns under the forward performance processes (FPP) framework. We focus on agents using power (CRRA) type FPPs for their investment-consumption optimization problem under a common noise Merton market model. We solve both the many-player and mean field game providing closed-form expressions for the solutions where the limit of the former yields the latter. In our case, the FPP framework yields a continuum of solutions for the consumption component as indexed to a market parameter we coin "market-risk relative consumption preference". The parameter permits the agent to set a preference for their consumption going forward in time that, in the competition case, reflects a common market behaviour. We show the FPP framework, under both competition and no-competition, allows the agent to disentangle her risk-tolerance and elasticity of intertemporal substitution (EIS) just like Epstein-Zin preferences under recursive utility framework and unlike the classical utility theory one. This, in turn, allows a finer analysis on the agent's consumption "income" and "substitution" regimes, and, of independent interest, motivates a new strand of economics research on EIS under the FPP framework. We find that competition rescales the agent's perception of consumption in a non-trivial manner. We provide numerical illustrations of our results.

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