Aleš Černý, Johannes Ruf, Martin Schweizer · 2026-07-03
This is a mathematical-finance theory paper about a class of risk-averse preferences (uniformly weighted divergence preferences), which includes monotone mean-variance utility. Its main result is a new, equivalent and easier-to-compute mathematical formula for these preferences, showing they equal a 'translation-invariant hull' of expected utility.
Why it matters: The preferences studied underpin robust, ambiguity-averse decision-making and monotone mean-variance optimization, so a quant building worst-case or model-uncertainty-aware portfolio objectives might find the reformulation makes computation more tractable. That said, this is a foundational math result rather than a strategy or empirical finding.
⚠ This is an abstract theoretical result with no data, backtest, or trading application; practical benefit is limited to specialists implementing these preference models.
Uniformly weighted divergence preferences (UWDP) introduced in Maccheroni et al. (2006) are an important class of risk-averse preferences that contain as a special case the monotone mean--variance utility. UWDP are characterised by the lowest expected value of an act in $L^\infty$ under an adversarially chosen probability measure combined with the divergence of this measure. Our main result provides an alternative, computationally friendlier formula, which establishes in full generality that UWDP are the translation-invariant hull of state-independent expected utility over $L^0$. Some consequences of the new representation are studied.
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AI summary generated from the paper’s public abstract via arXiv; it may miss nuance — read the source before relying on it. Thank you to arXiv for its open-access interoperability; StockTools is not affiliated with arXiv, and all rights remain with the authors. Educational only, not financial advice.