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Model Panel DCC-GARCH×Model Panel GARCH×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku20021986 (GARCH); panel extension 1990s–2000s
TvorcaRobert F. EngleBollerslev (1986); extended to panel settings in subsequent literature
TypMultivariate volatility modelVolatility model
Pôvodný zdrojEngle, 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 ↗Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
Ďalšie názvyDCC-GARCH panel, panel dynamic conditional correlation, multivariate DCC-GARCH, Panel DCCpanel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity model
Príbuzné56
ZhrnutieThe 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.
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ScholarGatePorovnať metódy: Panel DCC-GARCH · Panel GARCH model. Získané 2026-06-18 z https://scholargate.app/sk/compare