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Model TGARCH sa vremenski promenljivim parametrima×EGARCH model (eksponencijalni GARCH)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1990s–2000s1991
TvoracExtension combining Zakoïan (1994) TGARCH and time-varying parameter methodsDaniel B. Nelson
TipVolatility model with asymmetry and parameter evolutionVolatility / conditional variance model
Temeljni izvorZakoïan, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931–955. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
Drugi naziviTVP-TGARCH, time-varying TGARCH, threshold GARCH with time-varying parameters, TVP Threshold GARCHExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Srodne46
SažetakThe TVP-TGARCH model extends Threshold GARCH by allowing its volatility parameters to evolve over time via a state-space representation. It captures both the leverage effect — that negative return shocks increase volatility more than positive ones — and structural change in that asymmetry, making it well-suited for long financial time series subject to regime shifts.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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ScholarGateUporedite metode: Time-varying parameter TGARCH model · EGARCH model. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare