DCC Models with GARCH and GARCH-MIDAS Specifications in the Univariate Step, RiskMetrics, Moving Covariance and Scalar and Diagonal 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) , the DCC-MIDAS of Colacito et al. (2011) , the Asymmetric DCC of Cappiello et al. , and the Dynamic Equicorrelation (DECO) of Engle and Kelly (2012) . 'dccmidas' offers the possibility of including standard GARCH , GARCH-MIDAS and Double Asymmetric GARCH-MIDAS models in the univariate estimation. Moreover, also the scalar and diagonal BEKK 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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("dccmidas")

0.1.3 by Vincenzo Candila, a month ago


Browse source code at https://github.com/cran/dccmidas


Authors: Vincenzo Candila [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports maxLik, rumidas, rugarch, roll, xts, Rdpack, zoo, stats, utils

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo


See at CRAN