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Fourier EGARCH: Volatilitetsmodellering med glidende strukturelle brud×Exponential GARCH (EGARCH)×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår2010s1991
OphavspersonExtension of Nelson (1991) EGARCH using Fourier approximation frameworksNelson
TypeVolatility model with smooth structural breaksConditional volatility model (asymmetric GARCH variant)
Oprindelig kildeEnders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574-599. DOI ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗
AliasserFourier-EGARCH, F-EGARCH, Fourier exponential GARCH, smooth structural break EGARCHexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Relaterede34
ResuméFourier EGARCH extends Nelson's (1991) Exponential GARCH model by embedding Fourier trigonometric terms in the conditional variance equation to capture smooth, gradual shifts in the unconditional variance level over time. This allows the model to handle structural breaks in volatility without requiring prior knowledge of their timing or number.EGARCH is an asymmetric GARCH variant, introduced by Nelson in 1991, that models the leverage effect in which bad news raises volatility more than good news of the same size. It captures the negative-shock asymmetry of financial return series by modelling the logarithm of the conditional variance.
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ScholarGateSammenlign metoder: Fourier EGARCH · EGARCH. Hentet 2026-06-18 fra https://scholargate.app/da/compare