Portfolio risk and the quantum majorization of correlation matrices
Journal Article
(2021)
Author(s)
C.W. Oosterlee (TU Delft - Numerical Analysis)
Research Group
Numerical Analysis
DOI related publication
https://doi.org/10.1093/imaman/dpaa011
To reference this document use:
https://resolver.tudelft.nl/uuid:b42fa4f2-ec8c-4c87-b180-f0ba9930d0a8
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Publication Year
2021
Language
English
Research Group
Numerical Analysis
Issue number
3
Volume number
32
Pages (from-to)
257–282
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.
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