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Formulate the allocator utility function U_a^i

Develop an explicit functional specification for the allocator utility function U_a^i: R^k -> R used by capital allocator a to evaluate the realised k-dimensional performance vector of a strategy within OpenAlpha’s capital allocation optimization, ensuring consistency with the stated assumptions of monotonicity in beneficial directions and concavity to reflect risk aversion.

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Background

In the OpenAlpha framework, each allocator evaluates a strategy via a utility function U_ai that maps a multi-dimensional metric vector (e.g., return, volatility, drawdown, liquidity impact) to a scalar utility. This utility directly shapes expected utility terms in the capital allocation optimization.

The paper specifies qualitative properties for U_ai (monotonicity in beneficial directions and concavity for risk aversion) but does not commit to a particular functional form, leaving the exact specification open for future work.

References

Whilst the specific formulation of this utility function is left for future work, $U_ai$ can be assumed to be monotonic in beneficial directions and concave to reflect diminishing marginal utility or risk aversion.

OpenAlpha: A Community-Led Adversarial Strategy Validation Mechanism for Decentralised Capital Management (2506.21809 - Abgaryan et al., 13 Jun 2025) in Section 2 (Problem Formulation), Definition [Strategy Utility], footnote