Partial Information in a Mean-Variance Portfolio Selection Game
Yu-Jui Huang, Li-Hsien Sun

TL;DR
This paper derives explicit Nash equilibria for mean-variance portfolio games with multiple investors under both full and partial information, revealing how relative performance impacts wealth dynamics.
Contribution
It provides the first explicit solutions for equilibrium strategies in mean-variance portfolio games considering partial information and relative performance.
Findings
Equilibrium strategies include myopic and hedging components dependent on a filtering process.
Relative performance can cause downward wealth reinforcement among investors.
The wealth decline phenomenon is significant under partial information but negligible under full information.
Abstract
This paper considers finitely many investors who perform mean-variance portfolio selection under relative performance criteria. That is, each investor is concerned about not only her terminal wealth, but how it compares to the average terminal wealth of all investors. At the inter-personal level, each investor selects a trading strategy in response to others' strategies. This selected strategy additionally needs to yield an equilibrium intra-personally, so as to resolve time inconsistency among the investor's current and future selves (triggered by the mean-variance objective). A Nash equilibrium we look for is thus a tuple of trading strategies under which every investor achieves her intra-personal equilibrium simultaneously. We derive such a Nash equilibrium explicitly in the idealized case of full information (i.e., the dynamics of the underlying stock is perfectly known) and…
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.
