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New Expected Utility Regret Rule for Optimal Portfolio Choice

By PulseAugur Editorial · [1 sources] ·

A new study introduces the Expected Utility Regret (EUR) rule for portfolio choice, aiming to maximize an investor's expected utility of wealth. This rule is designed to be asymptotically optimal in terms of expected utility regret, which is the difference between an oracle investor's utility and the utility achieved from data-driven portfolio selection. The EUR rule can jointly select a portfolio class and estimate its weights, achieving both minimax and Bayes lower bounds without requiring a prior distribution. The framework encompasses mean-variance and risk-parity portfolios as special cases. AI

RANK_REASON The cluster contains a research paper published on arXiv detailing a new financial modeling rule. [lever_c_demoted from research: ic=1 ai=0.1]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Expected Utility Regret Rule for Optimal Portfolio Choice

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The cluster contains a research paper published on arXiv detailing a new financial modeling rule. [lever_c_demoted from research: ic=1 ai=0.1]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Masahiro Kato ·

    Expected Utility Regret Rule: Minimax and Bayes Optimal Portfolio Choice

    arXiv:2610.02290v1 Announce Type: cross Abstract: This study considers the problem of portfolio choice, where we recommend a portfolio to an investor to maximize the expected utility of their wealth. Our goal is to construct an asymptotically optimal portfolio choice rule in term…

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