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Model ARCH z przerwami strukturalnymi×Model ARCH (Autoregresywna Heteroskedastyczność Warunkowa)×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania1982–19901982
TwórcaEngle (1982) for ARCH; Lamoureux & Lastrapes (1990) for break-adjusted variance persistenceRobert F. Engle
TypVolatility model with regime changeConditional volatility model
Źródło pierwotneEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
Inne nazwyARCH with structural breaks, break-adjusted ARCH, regime-switching ARCH, SB-ARCHARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
Pokrewne56
PodsumowanieThe 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 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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ScholarGatePorównaj metody: Structural Break ARCH Model · ARCH model. Pobrano 2026-06-17 z https://scholargate.app/pl/compare