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CRAN: Package finlabR

finlabR: Portfolio Analytics and Simulation Toolkit

Tools for portfolio construction and risk analytics, including mean-variance optimization, conditional value at risk (expected shortfall) minimization, risk parity, regime clustering, correlation analysis, Monte Carlo simulation, and option pricing. Includes utilities for portfolio evaluation, clustering, and risk reporting. Methods are based in part on Markowitz (1952) <doi:10.1111/j.1540-6261.1952.tb01525.x>, Rockafellar and Uryasev (2000) <doi:10.21314/JOR.2000.038>, Maillard et al. (2010) <doi:10.3905/jpm.2010.36.4.060>, Black and Scholes (1973) <doi:10.1086/260062>, and Cox et al. (1979) <doi:10.1016/0304-405X(79)90015-1>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: stats, utils, quadprog, ggplot2, PerformanceAnalytics, zoo, class, quantmod, reshape2, mclust, shiny
Suggests: bslib, TTR, DT, xts, yfR, cryptoQuotes, tidyquant, Rtsne, umap, testthat, knitr, rmarkdown
Published: 2026-04-22
DOI: 10.32614/CRAN.package.finlabR
Author: Suyash Jindal [aut, cre]
Maintainer: Suyash Jindal <jindalsuyash7 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
In views: Finance
CRAN checks: finlabR results

Documentation:

Reference manual: finlabR.html , finlabR.pdf
Vignettes: finlabR: Portfolio Analytics and Simulation (source, R code)
End-to-End Workflow (source, R code)

Downloads:

Package source: finlabR_1.0.0.tar.gz
Windows binaries: r-devel: finlabR_1.0.0.zip, r-release: finlabR_1.0.0.zip, r-oldrel: finlabR_1.0.0.zip
macOS binaries: r-release (arm64): finlabR_1.0.0.tgz, r-oldrel (arm64): finlabR_1.0.0.tgz, r-release (x86_64): finlabR_1.0.0.tgz, r-oldrel (x86_64): finlabR_1.0.0.tgz

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