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Modèle EGARCH à rupture structurelle×Modèle EGARCH (GARCH exponentiel)×
DomaineÉconométrieÉconométrie
FamilleRegression modelRegression model
Année d'origine1990–19911991
Auteur d'origineNelson (1991) for EGARCH; Lamoureux and Lastrapes (1990) for break-augmented GARCH variantsDaniel B. Nelson
TypeVolatility model with structural breaksVolatility / conditional variance model
Source fondatriceNelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
AliasSB-EGARCH, EGARCH with regime shifts, break-adjusted EGARCH, structural change EGARCHExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Apparentées56
RésuméStructural Break EGARCH combines Nelson's Exponential GARCH framework with explicit allowance for one or more structural breaks in the volatility process. By letting the intercept and persistence parameters of the log-variance equation shift at detected break dates, the model avoids the spurious long-memory and inflated persistence that standard EGARCH suffers when the data contain regime changes.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 EGARCH · EGARCH model. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare