Portfolio risk and the quantum majorization of correlation matrices

Journal Article (2021)
Author(s)

Andrea Fontanari

Iddo Eliazar

Pasquale Cirillo

C.W. Oosterlee (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Numerical Analysis
DOI related publication
https://doi.org/10.1093/imaman/dpaa011 Final published version
More Info
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Publication Year
2021
Language
English
Research Group
Numerical Analysis
Issue number
3
Volume number
32
Pages (from-to)
257–282
Downloads counter
188

Abstract

We propose quantum majorization as a way of comparing and ranking correlation matrices, with the aim of assessing portfolio risk in a unified framework. Quantum majorization is a partial order in the space of correlation matrices, which are evaluated through their spectra. We discuss the connections between quantum majorization and an important class of risk functionals, and we define two new risk measures able to capture interesting characteristics of portfolio risk.