Package: riskParityPortfolio 0.2.2.9000

riskParityPortfolio: Design of Risk Parity Portfolios

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. <doi:10.1109/TSP.2015.2452219>. F. Spinu (2013), An Algorithm for Computing Risk Parity Weights. <doi:10.2139/ssrn.2297383>. T. Griveau-Billion, J. Richard, and T. Roncalli (2013). A fast algorithm for computing High-dimensional risk parity portfolios. <arxiv:1311.4057>.

Authors:Ze Vinicius [aut], Daniel P. Palomar [cre, aut]

riskParityPortfolio_0.2.2.9000.tar.gz
riskParityPortfolio_0.2.2.9000.zip(r-4.7-x86_64)riskParityPortfolio_0.2.2.9000.zip(r-4.7-arm64)riskParityPortfolio_0.2.2.9000.zip(r-4.6-x86_64)riskParityPortfolio_0.2.2.9000.zip(r-4.6-arm64)riskParityPortfolio_0.2.2.9000.zip(r-4.5-x86_64)
riskParityPortfolio_0.2.2.9000.tgz(r-4.6-x86_64)riskParityPortfolio_0.2.2.9000.tgz(r-4.6-arm64)riskParityPortfolio_0.2.2.9000.tgz(r-4.5-x86_64)riskParityPortfolio_0.2.2.9000.tgz(r-4.5-arm64)
riskParityPortfolio_0.2.2.9000.tar.gz(r-4.7-arm64)riskParityPortfolio_0.2.2.9000.tar.gz(r-4.7-x86_64)riskParityPortfolio_0.2.2.9000.tar.gz(r-4.6-arm64)riskParityPortfolio_0.2.2.9000.tar.gz(r-4.6-x86_64)
riskParityPortfolio_0.2.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
riskParityPortfolio/json (API)

# Install 'riskParityPortfolio' in R:
install.packages('riskParityPortfolio', repos = c('https://dppalomar.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dppalomar/riskparityportfolio/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

optimizationportfolioriskrisk-paritycpp

7.66 score 122 stars 1 packages 55 scripts 1.5k downloads 2 exports 8 dependencies

Last updated from:7d8852c885. Checks:13 WARNING, 2 OK. Indexed: yes.

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Exports:barplotPortfolioRiskriskParityPortfolio

Dependencies:alabamalatticeMatrixnloptrnumDerivquadprogRcppRcppEigen

Slides R/Finance 2019
Markowitz Portfolio | Risk Parity Portfolio | Package riskParityPortfolio

Last update: 2019-08-31
Started: 2019-08-01

Slides RPP - Convex Optimization Course (HKUST)
​ | Introduction | Warm-Up: Markowitz Portfolio | Risk Parity Portfolio | Conclusions

Last update: 2019-08-31
Started: 2019-08-01

Design of Risk Parity Portfolios
Fast Design of Risk Parity Portfolios | Quick Start | What is a Risk Parity Portfolio? | Signal model | Modern Portfolio Theory | From “dollar” to risk diversification | Risk parity portfolio | Solving the Risk Parity Portfolio (RPP) | Naive diagonal formulation | Vanilla convex formulation | General nonconvex formulation | Using the Package riskParityPortfolio | Modern Risk Parity Portfolio | RPP with additional expected return term | RPP with additional variance term | RPP with general linear constraints | A pratical example using FAANG price data | Comparison with other Packages | Appendix I - Risk concentration formulations | Appendix II - Numerical algorithms for the risk parity portfolio | Algorithms for the vanilla risk parity formulation | Successive convex approximation algorithm for the modern risk parity formulation | Appendix III - Computational time | References

Last update: 2019-08-01
Started: 2018-12-31