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The classical Markowitz's mean-variance portfolio formulation ignores heavy tails and skewness. High-order portfolios use higher order moments to better characterize the return distribution. Different formulations and fast algorithms are proposed for high-order portfolios based on the mean, variance, skewness, and kurtosis. The package is based on the papers: R. Zhou and D. P. Palomar (2021). "Solving High-Order Portfolios via Successive Convex Approximation Algorithms." <doi:10.48550/arXiv.2008.00863>. X. Wang, R. Zhou, J. Ying, and D. P. Palomar (2022). "Efficient and Scalable High-Order Portfolios Design via Parametric Skew-t Distribution." <doi:10.48550/arXiv.2206.02412>.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ECOSolveR, lpSolveAPI, nloptr, PerformanceAnalytics, quadprog, fitHeavyTail (≥ 0.1.4), stats, utils |
| Suggests: | knitr, ggplot2, rmarkdown, R.rsp, testthat (≥ 3.0.0) |
| Published: | 2022-10-20 |
| Author: | Daniel P. Palomar [cre, aut], Rui Zhou [aut], Xiwen Wang [aut] |
| Maintainer: | Daniel P. Palomar <daniel.p.palomar at gmail.com> |
| BugReports: | https://github.com/dppalomar/highOrderPortfolios/issues |
| License: | GPL-3 |
| URL: | https://github.com/dppalomar/highOrderPortfolios, https://www.danielppalomar.com |
| NeedsCompilation: | yes |
| Citation: | highOrderPortfolios citation info |
| Materials: | README NEWS |
| CRAN checks: | highOrderPortfolios results |
| Reference manual: | highOrderPortfolios.pdf |
| Vignettes: |
Design of High-order Portfolios |
| Package source: | highOrderPortfolios_0.1.1.tar.gz |
| Windows binaries: | r-devel: highOrderPortfolios_0.1.1.zip, r-release: highOrderPortfolios_0.1.1.zip, r-oldrel: highOrderPortfolios_0.1.1.zip |
| macOS binaries: | r-release (arm64): highOrderPortfolios_0.1.1.tgz, r-oldrel (arm64): highOrderPortfolios_0.1.1.tgz, r-release (x86_64): highOrderPortfolios_0.1.1.tgz, r-oldrel (x86_64): highOrderPortfolios_0.1.1.tgz |
| Old sources: | highOrderPortfolios archive |
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These binaries (installable software) and packages are in development.
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