方法对比

	时变参数 GARCH 模型 (TVP-GARCH)	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	1982–2013	1991
提出者	Engle (1982) for ARCH/GARCH foundation; extended by Creal, Koopman & Lucas (2013) and others for time-varying parameter variants	Daniel B. Nelson
类型	Volatility model with time-varying coefficients	Volatility / conditional variance model
开创性文献	Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987-1007.	Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370.
别名	TVP-GARCH, time-varying GARCH, TV-GARCH, state-space GARCH	Exponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
相关	5	6
摘要	The Time-Varying Parameter GARCH model extends the standard GARCH framework by allowing the conditional variance parameters — including the ARCH and GARCH coefficients — to change over time rather than remaining fixed throughout the sample. This makes it well-suited to financial and macroeconomic series where volatility dynamics evolve across different market regimes or economic episodes.	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.