مقایسهٔ روش‌ها

	مدل پانل DCC-GARCH	مدل پانل GARCH
حوزه	اقتصادسنجی	اقتصادسنجی
خانواده	Regression model	Regression model
سال پیدایش	2002	1986 (GARCH); panel extension 1990s–2000s
پدیدآور	Robert F. Engle	Bollerslev (1986); extended to panel settings in subsequent literature
نوع	Multivariate volatility model	Volatility model
منبع بنیادین	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.	Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327.
نام‌های دیگر	DCC-GARCH panel, panel dynamic conditional correlation, multivariate DCC-GARCH, Panel DCC	panel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity model
مرتبط	5	6
خلاصه	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.	The Panel GARCH model extends Bollerslev's (1986) Generalized Autoregressive Conditional Heteroscedasticity framework to panel data, allowing conditional variance to evolve over time for each cross-sectional unit. It simultaneously captures unit-level heterogeneity and time-varying volatility clustering, making it the standard tool for modelling risk and uncertainty in multi-entity financial and macroeconomic panels.