Regression modelEconometrics / time series
时变参数EGARCH模型
TVP-EGARCH模型扩展了Nelson (1991) 的指数GARCH模型,允许其波动率方程的参数——包括杠杆效应系数——随时间连续漂移。这使得在不施加固定断点的情况下,能够捕捉金融收益率波动率中的结构性变化和状态演变。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI: 10.2307/2938260 ↗
- Harvey, A. C. (2013). Dynamic Models for Volatility and Heavy Tails: With Applications to Financial and Economic Time Series. Cambridge University Press. ISBN: 9781107034723
如何引用本页
ScholarGate. (2026, June 3). Time-Varying Parameter Exponential GARCH Model. ScholarGate. https://scholargate.app/zh/econometrics/time-varying-parameter-egarch-model
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.
Compare side by side →