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Strukturell brytning ARCH-modell×GARCH-modellen (prognostisering av volatilitet)×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår1982–19901986
UpphovspersonEngle (1982) for ARCH; Lamoureux & Lastrapes (1990) for break-adjusted variance persistenceTim Bollerslev
TypVolatility model with regime changeConditional volatility model
UrsprungskällaEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
AliasARCH with structural breaks, break-adjusted ARCH, regime-switching ARCH, SB-ARCHGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Närliggande55
SammanfattningThe Structural Break ARCH model extends Engle's (1982) Autoregressive Conditional Heteroscedasticity framework by explicitly accounting for abrupt, permanent shifts in the conditional variance process. Ignoring structural breaks in variance causes ARCH parameters to appear spuriously persistent, so incorporating break dummies or regime-specific parameters yields more accurate volatility estimates and better model fit.The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.
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ScholarGateJämför metoder: Structural Break ARCH Model · GARCH Model. Hämtad 2026-06-17 från https://scholargate.app/sv/compare