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Fourier EGARCH: Modelovanie volatility s hladkými štrukturálnymi zlomami×Exponential GARCH (EGARCH)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku2010s1991
TvorcaExtension of Nelson (1991) EGARCH using Fourier approximation frameworksNelson
TypVolatility model with smooth structural breaksConditional volatility model (asymmetric GARCH variant)
Pôvodný zdrojEnders, 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 ↗
Ďalšie názvyFourier-EGARCH, F-EGARCH, Fourier exponential GARCH, smooth structural break EGARCHexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Príbuzné34
ZhrnutieFourier 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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ScholarGatePorovnať metódy: Fourier EGARCH · EGARCH. Získané 2026-06-18 z https://scholargate.app/sk/compare