Portfolio optimization with probability distortion

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Authors: Sally Giuseppe Arcidiacono, Salvatore Greco
Cited by: 0
References: 17

Abstract

Distortion risk measures became popular due to their coherence and ability to align with investor risk and wealth attitudes. We introduce two distinct portfolio allocation formulations based on these measures, providing the necessary computational framework for practical application. • We propose an efficient LP formulation for the proposed portfolio allocations problem. • We propose a convergent solution for the distortion risk measure minimization. • We compare the results of the two methods in terms of errors and computational times.

Fields of Study & Subjects

Risk and Portfolio Optimization Financial Risk and Volatility Modeling Probability and Risk Models

Publication details

Journal / source
Statistics & Probability Letters
Volume
235
Pages
110733–110733
Publication date
11 March 2026
Language
EN