TGARCH Bayesian (Threshold GARCH dengan Estimasi Bayesian)
TGARCH Bayesian menggabungkan model volatilitas Threshold GARCH — yang menangkap respons asimetris volatilitas terhadap guncangan positif versus negatif — dengan inferensi Bayesian penuh melalui sampling Markov Chain Monte Carlo. Hasilnya adalah kerangka kerja yang berprinsip dan sadar ketidakpastian untuk memodelkan efek leverage dan imbal hasil keuangan berekor gemuk.
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Method map
The neighbourhood of related methods — select a node to explore.
Sumber
- 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 ↗
- Ardia, D. (2008). Financial Risk Management with Bayesian Estimation of GARCH Models: Theory and Applications. Springer. ISBN: 978-3-540-78656-6
Cara menyitasi halaman ini
ScholarGate. (2026, June 3). Bayesian Threshold Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/id/econometrics/bayesian-tgarch
Which method?
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.
- Model ARCH BayesianEkonometrika↔ compare
- Model EGARCH BayesianEkonometrika↔ compare
- Model GARCH BayesianEkonometrika↔ compare
- Model DCC-GARCH (Dynamic Conditional Correlation)Ekonometrika↔ compare
- Model EGARCH (Exponential GARCH)Ekonometrika↔ compare
- Model TGARCH (Threshold GARCH)Ekonometrika↔ compare
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