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Panel GARCH-modell×TGARCH-modell (Threshold GARCH)×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår1986 (GARCH); panel extension 1990s–2000s1993-1994
UpphovspersonBollerslev (1986); extended to panel settings in subsequent literatureZakoian (1994); Glosten, Jagannathan & Runkle (1993)
TypVolatility modelAsymmetric volatility model
UrsprungskällaBollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗
Aliaspanel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity modelThreshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCH
Närliggande66
SammanfattningThe 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 Threshold GARCH (TGARCH) model extends the standard GARCH framework by allowing positive and negative return shocks to have asymmetric effects on conditional variance. Negative shocks — bad news — typically amplify volatility more than positive shocks of the same magnitude, a stylised fact known as the leverage effect. TGARCH captures this asymmetry through a threshold indicator that switches on when the previous period's shock was negative.
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ScholarGateJämför metoder: Panel GARCH model · TGARCH model. Hämtad 2026-06-18 från https://scholargate.app/sv/compare