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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.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: MASS
Suggests: testthat (≥ 3.0.0)
Published: 2026-05-07
DOI: 10.32614/CRAN.package.qgarch
Author: Jedrzej Bialkowski [aut], Sanghyun Hong [aut, cre], Moritz Wagner [aut]
Maintainer: Sanghyun Hong <sanghyun.hong at canterbury.ac.nz>
BugReports: https://github.com/sho-125/qgarch/issues
License: MIT + file LICENSE
URL: https://github.com/sho-125/qgarch
NeedsCompilation: no
Citation: qgarch citation info
Materials: README
CRAN checks: qgarch results

Documentation:

Reference manual: qgarch.html , qgarch.pdf

Downloads:

Package source: qgarch_0.1.0.tar.gz
Windows binaries: r-devel: qgarch_0.1.0.zip, r-release: qgarch_0.1.0.zip, r-oldrel: qgarch_0.1.0.zip
macOS binaries: r-release (arm64): qgarch_0.1.0.tgz, r-oldrel (arm64): qgarch_0.1.0.tgz, r-release (x86_64): qgarch_0.1.0.tgz, r-oldrel (x86_64): qgarch_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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