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dccmidas

0.1.2

DCC Models with GARCH and GARCH-MIDAS Specifications in the Univariate Step, RiskMetrics, Moving Covariance and Scalar and Diagonal BEKK Models

0packages depend
2.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Vincenzo CandilaFirst published 2021-03-152 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 4.3 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
55%
Documented parameters
100%
Return-value docs
100%
References docs
70%

Downloads

2.8K
CRAN downloads in the past year
Rank #14,188 · ~8/day · ~235/mo
Daily download trend is not available in this view yet.
19530 days
72590 days
2.8K1 year
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Also on494 r2u26 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
LinkingTo (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.2Latest
    2024-02-21 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0
    2021-03-15
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-03-15
Total releases
2 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Bundled data
282 KB / 4 files
Download size
342 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dccmidas")
Candila, V. (2024). dccmidas: DCC Models with GARCH and GARCH-MIDAS Specifications in the Univariate Step, RiskMetrics, Moving Covariance and Scalar and Diagonal BEKK Models (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.dccmidas

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for dccmidas version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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