CVaR Portfolio Optimization

Version 2.0.0 (263 KB) von MathWorks Quant Team
Conditional Value at Risk (CVaR) portfolio optimization with the PortfolioCVaR object
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Aktualisiert 18. Sep 2018

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This example shows a Conditional Value at Risk (CVaR) portfolio optimization workflow, which includes:
* How to simulate asset scenarios based on normal distribution and the empirical distribution
* How to construct a portfolio using PortfolioCVaR object
* How to evaluate the efficient frontier
* How to extract the portfolio weights
* How to calculate CVaR of the portfolio

Zitieren als

MathWorks Quant Team (2026). CVaR Portfolio Optimization (https://de.mathworks.com/matlabcentral/fileexchange/38288-cvar-portfolio-optimization), MATLAB Central File Exchange. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2018a
Kompatibel mit R2018a und späteren Versionen
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Mehr zu Portfolio Optimization and Asset Allocation finden Sie in Help Center und MATLAB Answers
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Version Veröffentlicht Versionshinweise
2.0.0

Major update for the example using newer capabilities of MATLAB and Toolboxes
1.3.0.1

Updated license
1.3.0.0

Minor code cleanup, fixed some typos in comments.
1.0.0.0