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About Portfolio Risk and The Quantum Majorization of Correlation Matrices
1) The document proposes using quantum majorization to compare and rank correlation matrices as a way to assess portfolio risk in a unified framework. 2) Quantum majorization partially orders correlation matrices based on their spectra. It defines a matrix as riskier if the spectrum of the latter is contained within the convex hull of the former. 3) The authors introduce a class of risk measures called Mλ that are aligned with quantum majorization, and discuss properties like comonotonicity under majorization.
Detailed Information
Author: | ['David Seisa'] |
---|---|
Publication Year: | 2020 |
Pages: | 22 |
Language: | English |
Format: | |
Price: | FREE |
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