xdcclarge: Estimating a (c)DCC-GARCH Model in Large Dimensions (original) (raw)
Functions for Estimating a (c)DCC-GARCH Model in large dimensions based on a publication by Engle et,al (2017) <doi:10.1080/07350015.2017.1345683> and Nakagawa et,al (2018) <doi:10.3390/ijfs6020052>. This estimation method is consist of composite likelihood method by Pakel et al. (2014) <http://paneldataconference2015.ceu.hu/Program/Cavit-Pakel.pdf> and (Non-)linear shrinkage estimation of covariance matrices by Ledoit and Wolf (2004,2015,2016). (<doi:10.1016/S0047-259X(03)00096-4>, <doi:10.1214/12-AOS989>, <doi:10.1016/j.jmva.2015.04.006>).
Version: | 0.1.0 |
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Depends: | R (≥ 3.0.2) |
Imports: | stats, Rcpp (≥ 0.10.6), nlshrink |
LinkingTo: | Rcpp (≥ 0.10.6), RcppArmadillo (≥ 0.2.34) |
Suggests: | rugarch (≥ 1.0.0) |
Published: | 2018-07-12 |
DOI: | 10.32614/CRAN.package.xdcclarge |
Author: | Kei Nakagawa |
Maintainer: | Kei Nakagawa <kei.nak.0315 at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
CRAN checks: | xdcclarge results |
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