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This example will walk you through the steps to build an asset allocation strategy based on hierarchical risk parity (HRP). You will:
- Learn how to use statistics and machine learning techniques to cluster assets into a hierarchical tree structure.
- Understand how to develop allocation strategies based on the tree structure and risk parity concept through recursion.
- Compare its result with Mean-Variance asset allocation.
Cite As
MathWorks Computational Finance Team (2026). Asset Allocation - Hierarchical Risk Parity (https://au.mathworks.com/matlabcentral/fileexchange/70186-asset-allocation-hierarchical-risk-parity), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (210 KB)
MATLAB Release Compatibility
- Compatible with R2018b and later releases
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
