Package: HierPortfolios 1.0.1
HierPortfolios: Hierarchical Risk Clustering Portfolio Allocation Strategies
Machine learning hierarchical risk clustering portfolio allocation strategies. The implemented methods are: Hierarchical risk parity (De Prado, 2016) <doi:10.3905/jpm.2016.42.4.059>. Hierarchical clustering-based asset allocation (Raffinot, 2017) <doi:10.3905/jpm.2018.44.2.089>. Hierarchical equal risk contribution portfolio (Raffinot, 2018) <doi:10.2139/ssrn.3237540>. A Constrained Hierarchical Risk Parity Algorithm with Cluster-based Capital Allocation (Pfitzingera and Katzke, 2019) <https://www.ekon.sun.ac.za/wpapers/2019/wp142019/wp142019.pdf>.
Authors:
HierPortfolios_1.0.1.tar.gz
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HierPortfolios_1.0.1.tgz(r-4.4-any)HierPortfolios_1.0.1.tgz(r-4.3-any)
HierPortfolios_1.0.1.tar.gz(r-4.5-noble)HierPortfolios_1.0.1.tar.gz(r-4.4-noble)
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HierPortfolios.pdf |HierPortfolios.html✨
HierPortfolios/json (API)
# Install 'HierPortfolios' in R: |
install.packages('HierPortfolios', repos = c('https://ctruciosm.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ctruciosm/hierportfolios/issues
- daily_returns - Daily returns (in percentage) of 15 assets.
- mldp_returns - Returns of 10 simulated assets.
Last updated 4 months agofrom:613f7a2ce0. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | OK | Nov 08 2024 |
R-4.5-linux | OK | Nov 08 2024 |
R-4.4-win | OK | Nov 08 2024 |
R-4.4-mac | OK | Nov 08 2024 |
R-4.3-win | OK | Nov 08 2024 |
R-4.3-mac | OK | Nov 08 2024 |
Exports:DHRP_PortfolioHCAA_PortfolioHERC_PortfolioHRP_Portfolio
Dependencies:clusterfastcluster
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Daily returns (in percentage) of 15 assets. | daily_returns |
Constrained Hierarchical Risk Parity | DHRP_Portfolio |
Hierarchical Clustering-Based Asset Allocation | HCAA_Portfolio |
Hierarchical Equal Risk Contribution | HERC_Portfolio |
Hierarchical Risk Parity | HRP_Portfolio |
Returns of 10 simulated assets. | mldp_returns |