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GARCH model s vremenski promjenjivim parametrima (TVP-GARCH)×EGARCH model (eksponencijalni GARCH)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1982–20131991
TvoracEngle (1982) for ARCH/GARCH foundation; extended by Creal, Koopman & Lucas (2013) and others for time-varying parameter variantsDaniel B. Nelson
VrstaVolatility model with time-varying coefficientsVolatility / conditional variance model
Temeljni izvorEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987-1007. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
Drugi naziviTVP-GARCH, time-varying GARCH, TV-GARCH, state-space GARCHExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Srodne56
SažetakThe Time-Varying Parameter GARCH model extends the standard GARCH framework by allowing the conditional variance parameters — including the ARCH and GARCH coefficients — to change over time rather than remaining fixed throughout the sample. This makes it well-suited to financial and macroeconomic series where volatility dynamics evolve across different market regimes or economic episodes.The Exponential GARCH (EGARCH) model, introduced by Nelson (1991), extends the standard GARCH framework by modelling the logarithm of conditional variance. This ensures variance is always positive without parameter constraints and, crucially, allows negative and positive shocks to have asymmetric effects on volatility — capturing the well-known leverage effect in financial markets.
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ScholarGateUsporedite metode: Time-varying parameter GARCH model · EGARCH model. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare