fEGarch: Estimation of a Broad Family of EGARCH Models

Implement and fit a variety of models from a very broad family of exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models, such as a MEGARCH (modified EGARCH), FIEGARCH (fractionally integrated EGARCH), FIMLog-GARCH (fractionally integrated modulus Log-GARCH), and more. The FIMLog-GARCH as part of the EGARCH family is discussed in Feng et al. (2023) <https://econpapers.repec.org/paper/pdnciepap/156.htm>. For convenience and the purpose of comparison, a variety of other popular GARCH-type models, like an APARCH model, a fractionally integrated APARCH (FIAPARCH) model, standard GARCH and fractionally integrated GARCH (FIGARCH) models, GJR-GARCH and FIGJR-GARCH models, TGARCH and FITGARCH models, are implemented. Models are fitted through quasi-maximum-likelihood estimation.

Version: 1.0.0
Depends: R (≥ 3.5), methods
Imports: Rcpp (≥ 1.0.9), Rsolnp, smoots, esemifar, zoo, stats, utils, rugarch, future, furrr, rlang, ggplot2, magrittr, cli, numDeriv
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0)
Published: 2025-06-11
DOI: 10.32614/CRAN.package.fEGarch
Author: Dominik Schulz [aut, cre] (Paderborn University, Germany), Yuanhua Feng [aut] (Paderborn University, Germany), Christian Peitz [aut] (Financial Intelligence Unit (German Government)), Oliver Kojo Ayensu [aut] (Paderborn University, Germany), Thomas Gries [ctb] (Paderborn University, Germany), Sikandar Siddiqui [ctb] (Deloitte Audit Analytics GmbH, Frankfurt, Germany), Shujie Li [ctb] (Paderborn University, Germany)
Maintainer: Dominik Schulz <dominik.schulz at uni-paderborn.de>
License: GPL-3
NeedsCompilation: yes
Materials: README
In views: Finance
CRAN checks: fEGarch results

Documentation:

Reference manual: fEGarch.pdf

Downloads:

Package source: fEGarch_1.0.0.tar.gz
Windows binaries: r-devel: fEGarch_1.0.0.zip, r-release: not available, r-oldrel: fEGarch_1.0.0.zip
macOS binaries: r-release (arm64): fEGarch_1.0.0.tgz, r-oldrel (arm64): fEGarch_1.0.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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