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dccmidas: DCC Models with GARCH and GARCH-MIDAS Specifications in theUnivariate Step, RiskMetrics, Moving Covariance and Scalar andDiagonal BEKK Models

Estimates a variety of Dynamic Conditional Correlation (DCC) models. More in detail, the 'dccmidas' package allows the estimation of the corrected DCC (cDCC) of Aielli (2013) <doi:10.1080/07350015.2013.771027>, the DCC-MIDAS of Colacito et al. (2011) <doi:10.1016/j.jeconom.2011.02.013>, the Asymmetric DCC of Cappiello et al. <doi:10.1093/jjfinec/nbl005>, and the Dynamic Equicorrelation (DECO) of Engle and Kelly (2012) <doi:10.1080/07350015.2011.652048>. 'dccmidas' offers the possibility of including standard GARCH <doi:10.1016/0304-4076(86)90063-1>, GARCH-MIDAS <doi:10.1162/REST_a_00300> and Double Asymmetric GARCH-MIDAS <doi:10.1016/j.econmod.2018.07.025> models in the univariate estimation. Moreover, also the scalar and diagonal BEKK <doi:10.1017/S0266466600009063> models can be estimated. Finally, the package calculates also the var-cov matrix under two non-parametric models: the Moving Covariance and the RiskMetrics specifications.

Version:0.1.2
Depends:R (≥ 4.0.0)
Imports:maxLik (≥ 1.3-8),rumidas (≥ 0.1.1),rugarch (≥ 1.4-4),roll (≥ 1.1.4),xts (≥ 0.12.0),Rdpack (≥ 1.0.0),zoo (≥1.8.8), stats (≥ 4.0.2), utils (≥ 4.0.2)
LinkingTo:Rcpp,RcppArmadillo
Suggests:knitr,rmarkdown
Published:2024-02-21
DOI:10.32614/CRAN.package.dccmidas
Author:Vincenzo Candila [aut, cre]
Maintainer:Vincenzo Candila <vcandila at unisa.it>
License:GPL-3
NeedsCompilation:yes
Citation:dccmidas citation info
Materials:NEWS
CRAN checks:dccmidas results

Documentation:

Reference manual:dccmidas.html ,dccmidas.pdf

Downloads:

Package source: dccmidas_0.1.2.tar.gz
Windows binaries: r-devel:dccmidas_0.1.2.zip, r-release:dccmidas_0.1.2.zip, r-oldrel:dccmidas_0.1.2.zip
macOS binaries: r-release (arm64):dccmidas_0.1.2.tgz, r-oldrel (arm64):dccmidas_0.1.2.tgz, r-release (x86_64):dccmidas_0.1.2.tgz, r-oldrel (x86_64):dccmidas_0.1.2.tgz
Old sources: dccmidas archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=dccmidasto link to this page.


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