ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Fourier EGARCH: Pemodelan Volatiliti dengan Perubahan Struktur yang Lancar×Exponential GARCH (EGARCH)×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal2010s1991
PengasasExtension of Nelson (1991) EGARCH using Fourier approximation frameworksNelson
JenisVolatility model with smooth structural breaksConditional volatility model (asymmetric GARCH variant)
Sumber perintisEnders, 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 ↗
AliasFourier-EGARCH, F-EGARCH, Fourier exponential GARCH, smooth structural break EGARCHexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Berkaitan34
RingkasanFourier 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.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: Fourier EGARCH · EGARCH. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare