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Asset Allocation - Hierarchical Risk Parity

This example presents the full workflow to perform hierarchical risk parity asset allocation proposed by Lopez de Prado Marcos.


Updated 04 Mar 2019

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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 (2020). Asset Allocation - Hierarchical Risk Parity (, MATLAB Central File Exchange. Retrieved .

Comments and Ratings (5)

It does. I guess Jingjing Li means Matlab code to implement the weight boundaries. The authors use R:

The article below entitled “A constrained hierarchical risk parity algorithm” proposes a method to impose weight constraints to individual assets or group of assets on the HRP optimization.

I hope this helps!

Andre Viana

Good work.

Jingjing Li

What about if I want to add weight constraints?

MATLAB Release Compatibility
Created with R2018b
Compatible with R2018b to any release
Platform Compatibility
Windows macOS Linux