Forward utility and market adjustments in relative investment-consumption games of many players
Goncalo dos Reis, Vadim Platonov

TL;DR
This paper develops a forward performance process framework for many-player and mean field investment-consumption games, providing explicit solutions and insights into how competition influences consumption preferences and risk-tolerance.
Contribution
It introduces a novel FPP-based model for multi-agent investment and consumption, deriving closed-form solutions and analyzing the impact of market competition on preferences.
Findings
Closed-form solutions for many-player and mean field games.
Market competition alters consumption perception non-trivially.
FPP framework disentangles risk-tolerance and EIS like Epstein-Zin preferences.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEconomic theories and models · Financial Markets and Investment Strategies · Stochastic processes and financial applications
