Machine learning portfolio allocation strategies based on hierarchical clustering methods. The implemented methods are: Hierarchical risk parity (De Prado, 2016) <doi:10.3905/jpm.2016.42.4.059> and Hierarchical clustering-based asset allocation (Raffinot, 2017) <doi:10.3905/jpm.2018.44.2.089>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | fastcluster, cluster, RiskPortfolios |
| Published: | 2021-11-09 |
| Author: | Carlos Trucios |
| Maintainer: | Carlos Trucios <ctrucios at gmail.com> |
| BugReports: | https://github.com/ctruciosm/HierPortfolios/issues |
| License: | GPL-2 |
| URL: | https://github.com/ctruciosm/HierPortfolios |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | HierPortfolios results |
| Reference manual: | HierPortfolios.pdf |
| Package source: | HierPortfolios_0.1.0.tar.gz |
| Windows binaries: | r-devel: HierPortfolios_0.1.0.zip, r-release: HierPortfolios_0.1.0.zip, r-oldrel: HierPortfolios_0.1.0.zip |
| macOS binaries: | r-release (arm64): HierPortfolios_0.1.0.tgz, r-oldrel (arm64): HierPortfolios_0.1.0.tgz, r-release (x86_64): HierPortfolios_0.1.0.tgz, r-oldrel (x86_64): HierPortfolios_0.1.0.tgz |
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