ScholarGate
Asistent

Usporedite metode

Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.

Fourier EGARCH: Modeliranje volatilnosti s glatkim strukturnim promjenama×EGARCH (Exponential GARCH)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka2010s1991
TvoracExtension of Nelson (1991) EGARCH using Fourier approximation frameworksNelson
VrstaVolatility model with smooth structural breaksConditional volatility model (asymmetric GARCH variant)
Temeljni izvorEnders, 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 ↗
Drugi naziviFourier-EGARCH, F-EGARCH, Fourier exponential GARCH, smooth structural break EGARCHexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Srodne34
SažetakFourier 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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretraživanje Preuzmi prezentaciju

ScholarGateUsporedite metode: Fourier EGARCH · EGARCH. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare