手法を比較

	Panel GARCH モデル	DCC-GARCHモデル（動学的条件付き相関）
分野	計量経済学	計量経済学
系統	Regression model	Regression model
提唱年	1986 (GARCH); panel extension 1990s–2000s	2002
提唱者	Bollerslev (1986); extended to panel settings in subsequent literature	Robert F. Engle
種類	Volatility model	Multivariate volatility model
原典	Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327.	Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350.
別名	panel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity model	DCC-GARCH, Dynamic Conditional Correlation GARCH, Engle DCC model, multivariate DCC
関連	6	5
概要	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.	The DCC-GARCH model, introduced by Engle (2002), extends univariate GARCH to capture time-varying correlations between multiple financial time series. It decomposes the multivariate conditional covariance matrix into individual volatility processes and a dynamic correlation matrix, allowing correlations to fluctuate over time while remaining computationally tractable even with many series.