Regression modelEconometrics / time series

Panel DCC-GARCH Model

The Panel DCC-GARCH model extends Engle's (2002) Dynamic Conditional Correlation GARCH framework to panel data settings, jointly modelling time-varying volatility and cross-sectional correlations across multiple units (countries, firms, or assets) over time. It allows pairwise correlations to vary dynamically in response to market shocks while preserving parsimony via a two-step estimation.

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Sources

  1. Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroscedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. DOI: 10.1198/073500102288618487
  2. Engle, R. F., & Sheppard, K. (2001). Theoretical and empirical properties of dynamic conditional correlation multivariate GARCH. NBER Working Paper 8554. National Bureau of Economic Research. link

Related methods

Referenced by

ScholarGatePanel DCC-GARCH (Panel Dynamic Conditional Correlation GARCH Model). Retrieved 2026-06-04 from https://scholargate.app/en/econometrics/panel-dcc-garch