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Panel GARCH-modell×Autoregressiv modell för betingad heteroskedasticitet (ARCH-modell)×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår1986 (GARCH); panel extension 1990s–2000s1982
UpphovspersonBollerslev (1986); extended to panel settings in subsequent literatureRobert F. Engle
TypVolatility modelConditional volatility model
UrsprungskällaBollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
Aliaspanel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity modelARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
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 ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering.
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ScholarGateJämför metoder: Panel GARCH model · ARCH model. Hämtad 2026-06-17 från https://scholargate.app/sv/compare