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贝叶斯阈值GARCH模型 (Bayesian TGARCH)

贝叶斯阈值GARCH模型结合了阈值GARCH波动率模型——该模型捕捉波动率对正向和负向冲击的非对称反应——以及通过马尔可夫链蒙特卡洛抽样实现的完全贝叶斯推断。其结果是一个基于原理、考虑不确定性的框架,用于模拟杠杆效应和厚尾金融收益。

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来源

  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. Ardia, D. (2008). Financial Risk Management with Bayesian Estimation of GARCH Models: Theory and Applications. Springer. ISBN: 978-3-540-78656-6

如何引用本页

ScholarGate. (2026, June 3). Bayesian Threshold Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/zh/econometrics/bayesian-tgarch

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被引用于

ScholarGateBayesian TGARCH (Bayesian Threshold Generalized Autoregressive Conditional Heteroscedasticity Model). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/bayesian-tgarch · 数据集: https://doi.org/10.5281/zenodo.20539026