CRAN/E | portvine

portvine

Vine Based (Un)Conditional Portfolio Risk Measure Estimation

Installation

About

Following Sommer (2022) 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.

github.com/EmanuelSommer/portvine
emanuelsommer.github.io/portvine/
Bug report File report

Key Metrics

Version 1.0.3
R ≥ 2.10
Published 2024-01-18 93 days ago
Needs compilation? yes
License MIT
License File
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Maintainer

Maintainer

Emanuel Sommer

emanuel_sommer@gmx.de

Authors

Emanuel Sommer

cre / aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Get started

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

portvine archive

Depends

R ≥ 2.10

Imports

checkmate
data.table
dplyr
dtplyr
future.apply
methods
ppcor
Rcpp ≥ 0.12.12
rlang
rugarch
rvinecopulib
tidyr

Suggests

covr
future
ggplot2
ggtext
knitr
patchwork
rmarkdown
scales
testthat ≥ 3.0.0

LinkingTo

BH
kde1d
Rcpp
RcppEigen
RcppThread
rvinecopulib
wdm