Dynamically optimal portfolios for monotone mean–variance preferences

ArXiv ID: 2503.08272 “View on arXiv”

Authors: Unknown

Abstract

Monotone mean-variance (MMV) utility is the minimal modification of the classical Markowitz utility that respects rational ordering of investment opportunities. This paper provides, for the first time, a complete characterization of optimal dynamic portfolio choice for the MMV utility in asset price models with independent returns. The task is performed under minimal assumptions, weaker than the existence of an equivalent martingale measure and with no restrictions on the moments of asset returns. We interpret the maximal MMV utility in terms of the monotone Sharpe ratio (MSR) and show that the global squared MSR arises as the nominal yield from continuously compounding at the rate equal to the maximal local squared MSR. The paper gives simple necessary and sufficient conditions for mean-variance (MV) efficient portfolios to be MMV efficient. Several illustrative examples contrasting the MV and MMV criteria are provided.

Keywords: Monotone Mean-Variance (MMV), Monotone Sharpe Ratio (MSR), Dynamic Portfolio Choice, Utility Theory, Independent Returns, Multi-Asset (Portfolio Optimization)

Complexity vs Empirical Score

• Math Complexity: 8.5/10
• Empirical Rigor: 3.0/10
• Quadrant: Lab Rats
• Why: The paper is highly mathematical, featuring advanced stochastic calculus (e.g., semimartingales, g-variation, Doleans-Dade exponentials) and proofs of optimal portfolio characterizations under minimal assumptions. It is purely theoretical with no code, backtests, or data-driven examples; the examples provided are illustrative mathematical constructs rather than empirical validations.

  flowchart TD
    A["Research Goal: Find dynamic optimal portfolios<br>for Monotone Mean-Variance (MMV) preferences"] --> B["Key Methodology:<br>Assumption of Independent Returns"]
    B --> C["Key Methodology:<br>Formulate MMV Utility Optimization"]
    C --> D["Computational Process:<br>Derive Local & Global MSR"]
    D --> E{"Key Finding:<br>Is Mean-Variance Portfolio MMV Efficient?"}
    E -- Yes --> F["Outcome: MV Portfolio remains optimal"]
    E -- No --> G["Outcome: Optimal MMV Portfolio differs<br>with higher monotone Sharpe Ratio"]