Weighted selection from elliptical distributions: a stochastic representation and an application to portfolio separation

By Nils Chr Framstad

Rating

1472
Battle Count: 54

Relevance

6/10
Highly relevant for theoretical foundations of portfolio construction and asset pricing. It provides a rigorous basis for fund separation theorems under broader distributional assumptions than classical Markowitz or CAPM, which is useful for quantitative strategists dealing with non-normal returns.

Implementation Complexity

8/10
High complexity due to advanced probability theory, stochastic representations, and measure-theoretic arguments. Implementation would require significant mathematical expertise to translate the theoretical separation results into practical portfolio construction algorithms.

Reproducibility

3/5
The paper is purely theoretical. The mathematical proofs and derivations are fully described within the text, allowing for verification by experts in the field, but there is no code or empirical data to reproduce.

Abstract

We represent (weighted-)selection-elliptical distributions as an affine combination of the q selection variables plus an elliptical term whose direction alone is independent. This form suffices for q+2 fund separation via first-order stochastic dominance, inter alia relaxing Simaan's (1993) three-fund assumptions.

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