Paper: arXiv 2309.16047
Authors: Puru Gupta, Saul D. Jacka
Abstract
We consider an augmented version of Merton’s portfolio choice problem, where trading by large investors influences the price of underlying financial asset leading to strategic interaction among investors, with investors deciding their trading rates independently and simultaneously at each instant, in the spirit of dynamic Cournot competition, modelled here as a non-zero sum singular stochastic differential game. We establish an equivalence result for the value functions of an investor’s best-response problem, which is a singular stochastic optimal control problem, and an auxiliary classical stochastic optimal control problem by exploiting the invariance of the value functions with respect to a diffeomorphic integral flow associated with the drift coefficient of the best-response problem. Under certain regularity conditions, we show that the optimal trajectories of the two control problems coincide, which permits analytical characterization of Markov-Nash equilibrium portfolios. For the special case when asset price volatility is constant, we show that the unique Nash equilibrium is deterministic, and provide a closed-form solution which illuminates the role of imperfect competition in explaining the excessive trade puzzle.
Complexity vs Empirical Score
- Math Complexity: 8.5/10
- Empirical Rigor: 1.5/10
- Quadrant: Lab Rats — theoretically deep, empirically untested
Why this score: The paper provides a highly rigorous theoretical extension of Merton’s portfolio choice problem using dynamic Cournot competition and singular stochastic differential games. While it achieves deep analytical insights and closed-form solutions, it lacks empirical validation or real-world backtesting against financial data.
Research Flowchart
flowchart TD
A[Goal: Portfolio Choice in Dynamic Thin Markets<br>Merton Meets Cournot] --> B[Input: Stochastic Differential Game Model<br>Price Impact & Strategic Investors]
B --> C[Method: Singular Stochastic Optimal Control<br>Best-Response Problem]
C --> D[Compute: Diffeomorphic Integral Flow Transformation<br>Equivalence to Classical Control Problem]
D --> E[Derive: Markov-Nash Equilibrium Portfolios<br>Matching Optimal Trajectories]
E --> F[Case Study: Constant Volatility Asset<br>Deterministic Closed-Form Solution]
F --> G[Outcome: Analytical Characterization<br>Explaining the Excessive Trade Puzzle]