TGARCH Bayesian (Threshold GARCH dengan Anggaran Bayesian)
TGARCH Bayesian menggabungkan model ketergoyahan Threshold GARCH — yang menangkap respons asimetri ketergoyahan terhadap kejutan positif berbanding negatif — dengan inferens Bayesian penuh melalui pensampelan Markov Chain Monte Carlo. Hasilnya ialah rangka kerja yang berprinsip dan sedar ketidakpastian untuk memodelkan kesan leveraj dan pulangan kewangan yang 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 memetik halaman ini
ScholarGate. (2026, June 3). Bayesian Threshold Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/ms/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 BayesianEkonometrik↔ compare
- Model EGARCH BayesianEkonometrik↔ compare
- Model GARCH BayesianEkonometrik↔ compare
- Model DCC-GARCH (Dynamic Conditional Correlation)Ekonometrik↔ compare
- Model EGARCH (Exponential GARCH)Ekonometrik↔ compare
- Model TGARCH (Threshold GARCH)Ekonometrik↔ compare
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