Variance Allocation and Shapley Value
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Abstract (arXiv)
Motivated by the problem of utility allocation in a portfolio under a Markowitz mean-variance choice paradigm, we propose an allocation criterion for the variance of the sum of n possibly dependent random variables. This criterion, the Shapley value, requires to translate the problem into a cooperative game. The Shapley value has nice properties, but, in general, is computationally demanding. The main result of this paper shows that in our particular case the Shapley value has a very simple form that can be easily computed. The same criterion is used also to allocate the standard deviation of the sum of n random variables and a conjecture about the relation of the values in the two games is formulated.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Jun 2016.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 1.
4 papers.
- 2023Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Modelscited by 19
- 2024Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Predictioncited by 0
- 2024Reinforcement Learning Paycheck Optimization for Multivariate Financial Goalscited by 0
- 2025Explaining Risks: Axiomatic Risk Attributions for Financial Modelscited by 0
- 2025Explaining Risks: Axiomatic Risk Attributions for Financial Models7 Jun 2025
- 2024Reinforcement Learning Paycheck Optimization for Multivariate Financial Goals9 Mar 2024
- 2024Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction9 Feb 2024
- 2023Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models24 May 2023