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Regression modelEconometrics / time series

TGARCH Imara — Threshold GARCH yenye Tathmini Imara

TGARCH Imara huipanua modeli ya Threshold GARCH kwa kubadilisha lengo la kawaida la uwezekano wa juu zaidi (maximum likelihood) na kizio ambacho kinastahimili msukumo wenye mkia mzito na uchunguzi wa nje. Inakamata miitikio ya hali tete yenye ukosefu wa usawa — ambapo mshtuko hasi huongeza kiwango cha utofauti zaidi kuliko mshtuko chanya — huku ikibaki kuwa ya kuaminika wakati usambazaji wa mapato unapopotea sana kutoka kwa kawaida.

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Vyanzo

  1. Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931–955. DOI: 10.1016/0165-1889(94)90039-6
  2. Preminger, A., & Storti, G. (2017). Least squares estimation for GARCH (1,1) model with heavy tailed errors. The Econometrics Journal, 20(1), 221–258. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Threshold Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/sw/econometrics/robust-tgarch

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateRobust TGARCH (Robust Threshold Generalized Autoregressive Conditional Heteroscedasticity Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/robust-tgarch · Seti ya data: https://doi.org/10.5281/zenodo.20539026