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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>DCC Models with GARCH and GARCH-MIDAS Specifications in the
Univariate Step, RiskMetrics, Moving Covariance and Scalar and
Diagonal BEKK Models</dc:title>
  <dc:title>R package dccmidas version 0.1.2</dc:title>
  <dc:description>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) &lt;doi:10.1080/07350015.2013.771027&gt;, the DCC-MIDAS of Colacito et al. (2011) &lt;doi:10.1016/j.jeconom.2011.02.013&gt;, the Asymmetric DCC of Cappiello et al. &lt;doi:10.1093/jjfinec/nbl005&gt;, and the Dynamic Equicorrelation (DECO) of Engle and Kelly (2012) &lt;doi:10.1080/07350015.2011.652048&gt;. 'dccmidas' offers the possibility of including standard GARCH &lt;doi:10.1016/0304-4076(86)90063-1&gt;, GARCH-MIDAS &lt;doi:10.1162/REST_a_00300&gt; and Double Asymmetric GARCH-MIDAS &lt;doi:10.1016/j.econmod.2018.07.025&gt; models in the univariate estimation. Moreover, also the scalar and diagonal BEKK &lt;doi:10.1017/S0266466600009063&gt; 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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Imports: maxLik (&gt;= 1.3-8), rumidas (&gt;= 0.1.1), rugarch (&gt;= 1.4-4),
roll (&gt;= 1.1.4), xts (&gt;= 0.12.0), Rdpack (&gt;= 1.0.0), zoo (&gt;=
1.8.8), stats (&gt;= 4.0.2), utils (&gt;= 4.0.2)</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Vincenzo Candila &lt;vcandila@unisa.it&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Vincenzo Candila [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-02-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=dccmidas</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.dccmidas</dc:identifier>
</oai_dc:dc>
