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Modèle ARCH à Rupture Structurelle×Modèle EGARCH (GARCH exponentiel)×
DomaineÉconométrieÉconométrie
FamilleRegression modelRegression model
Année d'origine1982–19901991
Auteur d'origineEngle (1982) for ARCH; Lamoureux & Lastrapes (1990) for break-adjusted variance persistenceDaniel B. Nelson
TypeVolatility model with regime changeVolatility / conditional variance model
Source fondatriceEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
AliasARCH with structural breaks, break-adjusted ARCH, regime-switching ARCH, SB-ARCHExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Apparentées56
RésuméThe 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 Exponential GARCH (EGARCH) model, introduced by Nelson (1991), extends the standard GARCH framework by modelling the logarithm of conditional variance. This ensures variance is always positive without parameter constraints and, crucially, allows negative and positive shocks to have asymmetric effects on volatility — capturing the well-known leverage effect in financial markets.
ScholarGateJeu de données
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  1. v1
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  3. PUBLISHED

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ScholarGateComparer des méthodes: Structural Break ARCH Model · EGARCH model. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare