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Furierov ARČ model×ARCH model (autoregresivna uslovna heteroskedastičnost)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka2010s1982
TvoracExtends Engle (1982) ARCH framework with Fourier terms following Enders & Lee (2012)Robert F. Engle
TipVolatility model with smooth structural changeConditional volatility model
Temeljni izvorEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
Drugi naziviFourier-ARCH, F-ARCH, ARCH with Fourier terms, Fourier smooth transition ARCHARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
Srodne66
SažetakThe Fourier ARCH model extends the classical ARCH framework by incorporating trigonometric (Fourier) terms into the conditional variance equation. This allows the model to capture smooth, gradual shifts in volatility dynamics over time without assuming abrupt structural breaks, making it well-suited for long financial or macroeconomic time series subject to slowly evolving regime changes.The ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering.
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ScholarGateUporedite metode: Fourier ARCH Model · ARCH model. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare