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portvine: Vine Based (Un)Conditional Portfolio Risk Measure Estimation

Following Sommer (2022) <https://mediatum.ub.tum.de/1658240> portfolio level risk estimates (e.g. Value at Risk, Expected Shortfall) are estimated by modeling each asset univariately by an ARMA-GARCH model and then their cross dependence via a Vine Copula model in a rolling window fashion. One can even condition on variables/time series at certain quantile levels to stress test the risk measure estimates.

Version:1.0.3
Depends:R (≥ 2.10)
Imports:checkmate,data.table,dplyr,dtplyr,future.apply, methods,ppcor,Rcpp (≥ 0.12.12),rlang,rugarch,rvinecopulib,tidyr
LinkingTo:BH,kde1d,Rcpp,RcppEigen,RcppThread,rvinecopulib,wdm
Suggests:covr,future,ggplot2,ggtext,knitr,patchwork,rmarkdown,scales,testthat (≥ 3.0.0)
Published:2024-01-18
DOI:10.32614/CRAN.package.portvine
Author:Emanuel Sommer [cre, aut]
Maintainer:Emanuel Sommer <emanuel_sommer at gmx.de>
BugReports:https://github.com/EmanuelSommer/portvine/issues
License:MIT + fileLICENSE
URL:https://github.com/EmanuelSommer/portvine,https://emanuelsommer.github.io/portvine/
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:portvine results

Documentation:

Reference manual:portvine.html ,portvine.pdf
Vignettes:Get started (source,R code)

Downloads:

Package source: portvine_1.0.3.tar.gz
Windows binaries: r-devel:portvine_1.0.3.zip, r-release:portvine_1.0.3.zip, r-oldrel:portvine_1.0.3.zip
macOS binaries: r-release (arm64):portvine_1.0.3.tgz, r-oldrel (arm64):portvine_1.0.3.tgz, r-release (x86_64):portvine_1.0.3.tgz, r-oldrel (x86_64):portvine_1.0.3.tgz
Old sources: portvine archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=portvineto link to this page.


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