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ARCH model se strukturními zlomy×Model GARCH (Predikce volatility)×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku1982–19901986
TvůrceEngle (1982) for ARCH; Lamoureux & Lastrapes (1990) for break-adjusted variance persistenceTim Bollerslev
TypVolatility model with regime changeConditional volatility model
Původní zdrojEngle, 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 ↗
Další názvyARCH with structural breaks, break-adjusted ARCH, regime-switching ARCH, SB-ARCHGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Příbuzné55
ShrnutíThe 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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ScholarGatePorovnat metody: Structural Break ARCH Model · GARCH Model. Získáno 2026-06-15 z https://scholargate.app/cs/compare