方法对比

	傅里叶对称GARCH模型	EGARCH model
领域	计量经济学	计量经济学
方法族	Regression model	Regression model
起源年份	1994 / 2012	1991
提出者	Zakoian (1994) for TGARCH; Enders and Lee (2012) for Fourier approximation framework	Daniel B. Nelson
类型	Volatility model with asymmetric leverage and Fourier smooth breaks	Volatility / conditional variance model
开创性文献	Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955.	Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370.
别名	Fourier TGARCH, Fourier Threshold GARCH, Fourier GJR-GARCH, smooth structural break TGARCH	Exponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
相关	5	6
摘要	The Fourier TGARCH model extends the Threshold GARCH framework by embedding Fourier trigonometric terms in the conditional variance equation to capture smooth, gradual structural breaks in volatility dynamics. It jointly models asymmetric leverage effects — where negative shocks amplify volatility more than positive shocks of the same magnitude — and time-varying intercept shifts caused by unobserved structural change.	The Exponential GARCH (EGARCH) model, introduced by Nelson (1991), extends the standard GARCH framework by modelling the logarithm of conditional variance. This ensures variance is always positive without parameter constraints and, crucially, allows negative and positive shocks to have asymmetric effects on volatility — capturing the well-known leverage effect in financial markets.