Package: qgarch 0.1.0

Sanghyun Hong

qgarch: Quadratic GARCH-in-Mean Models for Volatility Feedback

Fits quadratic generalized autoregressive conditional heteroskedasticity-in-mean (QGARCH-M) models motivated by Campbell and Hentschel (1992). The package supports models with lambda fixed at zero, lambda restricted to a function of the remaining parameters, lambda estimated freely, and a threshold extension with state-dependent lambda. It also provides tools for starting values, estimation, forecasting, likelihood-ratio testing, moment diagnostics, and replication with the included monthly U.S. stock market dataset.

Authors:Jedrzej Bialkowski [aut], Sanghyun Hong [aut, cre], Moritz Wagner [aut]

qgarch_0.1.0.tar.gz
qgarch_0.1.0.tar.gz(r-4.7-any)qgarch_0.1.0.tar.gz(r-4.6-any)
qgarch_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
qgarch/json (API)

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

Bug tracker:https://github.com/sho-125/qgarch/issues

Datasets:

On CRAN:

Conda:

1.70 score 4 exports 1 dependencies

Last updated from:2f71cda3af. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK150
source / vignettesOK145
linux-release-x86_64OK151
wasm-releaseOK100

Exports:qgarch_default_startsqgarch_fitqgarch_lr_testqgarch_moments

Dependencies:MASS