Paper: arXiv 2501.17193
Authors: Wahid Faidi
Abstract
This article studies the problem of utility maximization in an incomplete market under a class of nonlinear expectations and general constraints on trading strategies. Using a $g$-martingale method, we provide an explicit solution to our optimization problem for different utility functions and characterize an optimal investment-consumption strategy through the solutions to quadratic BSDEs.
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 presents a rigorous theoretical framework for portfolio optimization under g-expected utility and general constraints using quadratic BSDEs and g-martingales. However, it is entirely theoretical with zero empirical validation, backtesting, or code provided.
Research Flowchart
flowchart TD
A[Goal: Optimal Investment & Consumption<br>under g-Expectations & Constraints] --> B[Inputs: Multi-Asset Incomplete Market,<br>Utility Functions & Strategy Constraints]
B --> C[Method: Apply g-Martingale Technique<br>to Nonlinear Utility Maximization]
C --> D[Computation: Solve Associated<br>Quadratic BSDEs]
D --> E[Outcome: Explicit Optimal Investment-<br>Consumption Strategy Characterization]