Dynamic Conditional Correlation Models

Dynamic Conditional Correlation Models is a multivariate volatility modeling framework that extends univariate GARCH models by allowing time-varying conditional correlations among asset returns within a flexible, parsimonious, and consistently estimable structure.

494

Publications

33.8K

Citations

960

Authors

626

Institutions

Publications per year

2017–2026

218

Variants

Dcc Models

Authors

960

  1. RF
    Robert F. Engle

    New York University, United States

    13 publications · 11.5K citations

    13

    h-index

  2. CH
    Christian Hafner

    University of Regensburg, Germany

    9 publications · 384 citations

    9

    h-index

  3. MM
    Michael McAleer

    Erasmus University Rotterdam, Netherlands

    8 publications · 771 citations

    8

    h-index

  4. SH
    Shigeyuki Hamori

    Kobe University, Japan

    7 publications · 131 citations

    7

    h-index

  5. LB
    Luc Bauwens

    UCLouvain, Belgium

    7 publications · 2.4K citations

    7

    h-index

1–5 of 960

Venues

  1. SSRN Electronic Journal

    Repository · 41 publications · 2.7K citations

    22

    h-index

  2. Applied Economics

    18 publications · 684 citations

    15

    h-index

  3. Global Business Review

    11 publications · 232 citations

    11

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 14 publications · 2.3K citations

    11

    h-index

  5. Sustainability

    11 publications · 274 citations

    10

    h-index

1–5