Suboptimal Risk Placement Based on Inverse Volatility Weighting

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A simple asset allocation approach based on inverse volatility weighting allows for equal risk distribution across all portfolio components without the need for optimization. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

ROBERTO CINTRA

doi:10.5281/zenodo.22238031

September 1, 2026Open Access

Suboptimal Risk Placement Based on Inverse Volatility Weighting

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Key Points

To determine whether portfolio risk can be equally divided across constituent assets using volatility weighting without mathematical optimization.
Applied asset volatility as the sole benchmark for individual component and aggregate portfolio risk.
Formulated an inverse volatility weighting allocation framework to distribute risk equally across all portfolio assets without using optimization algorithms.
Demonstrates that risk splits evenly across all portfolio components by scaling asset weights inversely to their volatility.
Achieves balanced component risk exposure without the computational overhead or sensitivity to estimation errors associated with numerical optimization solvers.

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Abstract

Using volatility as the risk measure for portfolio’s risk, a very simple asset allocation approach is presented so that risk is equally split into all portfolio’s components without optimization

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ROBERTO CINTRA (2026) studied this question.

synapsesocial.com/papers/6a9ab0dc5d9e33f25c631d93 https://doi.org/10.5281/zenodo.22238031

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Suboptimal Risk Placement Based on Inverse Volatility Weighting

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Suboptimal Risk Placement Based on Inverse Volatility Weighting

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