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Model sa vremenski promjenjivim parametrima ARMA (TVP-ARCH)×Model GARCH (Prognoziranje volatilnosti)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1980s–1990s1986
TvoracExtension of Engle (1982) ARCH; TVP-ARCH formalization credited to Nicholls & Quinn and subsequent state-space literatureTim Bollerslev
VrstaConditional heteroscedasticity model with time-varying coefficientsConditional 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 ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
Drugi naziviTVP-ARCH, time-varying ARCH, adaptive ARCH, state-space ARCHGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Srodne55
SažetakThe Time-Varying Parameter ARCH (TVP-ARCH) model extends the classic ARCH framework by allowing both the conditional mean coefficients and the ARCH variance parameters to drift over time according to a random-walk or state-space process. This makes it possible to capture structural shifts in volatility dynamics without imposing a fixed parameter regime.The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.
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ScholarGateUsporedite metode: Time-varying parameter ARCH model · GARCH Model. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare