tvGarchKF: Time-Varying Garch Models Through a State-Space Representation

Estimates the time-varying (tv) parameters of the GARCH(1,1) model, enabling the modeling of non-stationary volatilities by allowing the model parameters to change gradually over time. The estimation and prediction processes are facilitated through the application of the Kalman filter and state-space equations. This package supports the estimation of tv parameters for various deterministic functions, which can be identified through exploratory analysis of different time periods or segments of return data. The methodology is grounded in the framework presented by Ferreira et al. (2017) <doi:10.1080/00949655.2017.1334778>.

Version:	0.0.1
Depends:	R (≥ 3.5.0)
Imports:	stats, fGarch, graphics
LinkingTo:	Rcpp
Suggests:	testthat (≥ 3.0.0)
Published:	2025-05-30
DOI:	10.32614/CRAN.package.tvGarchKF
Author:	Guillermo Ferreira [aut], Tomás Arancibia [aut, cre]
Maintainer:	Tomás Arancibia <tarancibia2016 at udec.cl>
License:	GPL (≥ 3)
NeedsCompilation:	yes
Citation:	tvGarchKF citation info
CRAN checks:	tvGarchKF results

Documentation:

Reference manual:

tvGarchKF.pdf

Downloads:

Package source:	tvGarchKF_0.0.1.tar.gz
Windows binaries:	r-devel: not available, r-release: tvGarchKF_0.0.1.zip, r-oldrel: tvGarchKF_0.0.1.zip
macOS binaries:	r-release (arm64): tvGarchKF_0.0.1.tgz, r-oldrel (arm64): tvGarchKF_0.0.1.tgz, r-release (x86_64): tvGarchKF_0.0.1.tgz, r-oldrel (x86_64): tvGarchKF_0.0.1.tgz

Linking:

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