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riskParityPortfolio
View on CRAN: Click
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Download and install riskParityPortfolio package within the R console
Install from CRAN:
install.packages("riskParityPortfolio")
Install from Github:
library("remotes")
install_github("cran/riskParityPortfolio")
Install by package version:
library("remotes")
install_version("riskParityPortfolio", "0.2.2")
Attach the package and use:
library("riskParityPortfolio")
Maintained by
Daniel P. Palomar
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.riskParityPortfolio . https://github.com/dppalomar/riskParityPortfolio/issues . https://CRAN.R-project.org/package=riskParityPortfolio . https://github.com/dppalomar/riskParityPortfolio . riskParityPortfolio citation info . riskParityPortfolio results . riskParityPortfolio.pdf . riskParityPortfolio_0.2.2.tar.gz . riskParityPortfolio_0.2.2.zip . riskParityPortfolio_0.2.2.zip . riskParityPortfolio_0.2.2.zip . riskParityPortfolio_0.2.2.tgz . riskParityPortfolio_0.2.2.tgz . riskParityPortfolio_0.2.2.tgz . riskParityPortfolio_0.2.2.tgz . riskParityPortfolio_0.2.2.tgz . riskParityPortfolio_0.2.2.tgz . riskParityPortfolio archive . https://CRAN.R-project.org/package=riskParityPortfolio .
First Published: 2018-12-25
Latest Update: 2021-06-01
Description:
Fast design of risk parity portfolios for financial investment.
The goal of the risk parity portfolio formulation is to equalize or distribute
the risk contributions of the different assets, which is missing if we simply
consider the overall volatility of the portfolio as in the mean-variance
Markowitz portfolio. In addition to the vanilla formulation, where the risk
contributions are perfectly equalized subject to no shortselling and budget
constraints, many other formulations are considered that allow for box
constraints and shortselling, as well as the inclusion of additional
objectives like the expected return and overall variance. See vignette for
a detailed documentation and comparison, with several illustrative examples.
The package is based on the papers:
Y. Feng, and D. P. Palomar (2015). SCRIP: Successive Convex Optimization Methods
for Risk Parity Portfolio Design. IEEE Trans. on Signal Processing, vol. 63,
no. 19, pp. 5285-5300. .
F. Spinu (2013), An Algorithm for Computing Risk Parity Weights.
.
T. Griveau-Billion, J. Richard, and T. Roncalli (2013). A fast algorithm for computing
High-dimensional risk parity portfolios. .
How to cite:
Daniel P. Palomar (2018). riskParityPortfolio: Design of Risk Parity Portfolios. R package version 0.2.2, https://cran.r-project.org/web/packages/riskParityPortfolio. Accessed 16 Mar. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for riskParityPortfolio
Functions, R codes and Examples using
the riskParityPortfolio R package
Some associated functions: barplotPortfolioRisk . riskParityPortfolio-package . riskParityPortfolio .
Some associated R codes: RcppExports.R . genSolver.R . plotting.R . riskFormulations.R . riskParityPortfolio-package.R . riskParityPortfolio.R . rppWithConstraints.R . Full riskParityPortfolio package functions and examples
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