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Nelineárny model TGARCH×Model ARCH (autoregresná podmienená heteroskedasticita)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1993–19941982
TvorcaJean-Michel Zakoian; related work by Glosten, Jagannathan & RunkleRobert F. Engle
TypConditional heteroskedasticity modelConditional volatility model
Pôvodný zdrojZakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931–955. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
Ďalšie názvyNL-TGARCH, Nonlinear Threshold GARCH, Asymmetric TGARCH, GJR-GARCH variantARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
Príbuzné46
ZhrnutieThe Nonlinear TGARCH (Threshold GARCH) model extends the standard GARCH framework by allowing positive and negative shocks of equal magnitude to exert different effects on future volatility. It models conditional volatility in terms of the absolute value of lagged residuals split by a sign threshold, capturing the well-documented leverage effect in financial return series.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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ScholarGatePorovnať metódy: Nonlinear TGARCH model · ARCH model. Získané 2026-06-18 z https://scholargate.app/sk/compare