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傅里叶EGARCH:具有平滑结构性断裂的波动率建模

傅里叶EGARCH通过在条件方差方程中嵌入傅里叶三角项,扩展了Nelson(1991)的指数GARCH模型,以捕捉无条件方差水平随时间发生的平滑、渐进式变化。这使得模型能够在不预先知道结构性断裂发生时间或数量的情况下,处理波动率中的结构性断裂。

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来源

  1. Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574-599. DOI: 10.1111/j.1468-0084.2011.00662.x
  2. Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347-370. DOI: 10.2307/2938260

如何引用本页

ScholarGate. (2026, June 3). Fourier Exponential Generalized Autoregressive Conditional Heteroscedasticity. ScholarGate. https://scholargate.app/zh/econometrics/fourier-egarch

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被引用于

ScholarGateFourier EGARCH (Fourier Exponential Generalized Autoregressive Conditional Heteroscedasticity). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/fourier-egarch · 数据集: https://doi.org/10.5281/zenodo.20539026