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Model Panel GARCH×EGARCH model (eksponencijalni GARCH)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1986 (GARCH); panel extension 1990s–2000s1991
TvoracBollerslev (1986); extended to panel settings in subsequent literatureDaniel B. Nelson
TipVolatility modelVolatility / conditional variance model
Temeljni izvorBollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
Drugi nazivipanel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity modelExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Srodne66
SažetakThe 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 Exponential GARCH (EGARCH) model, introduced by Nelson (1991), extends the standard GARCH framework by modelling the logarithm of conditional variance. This ensures variance is always positive without parameter constraints and, crucially, allows negative and positive shocks to have asymmetric effects on volatility — capturing the well-known leverage effect in financial markets.
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ScholarGateUporedite metode: Panel GARCH model · EGARCH model. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare