방법 비교

	EGARCH 모형 (Exponential GARCH)	Vector Autoregression (VAR)
분야	계량경제학	계량경제학
계열	Regression model	Regression model
기원 연도	1991	1980
창시자	Daniel B. Nelson	Christopher A. Sims
유형	Volatility / conditional variance model	Multivariate time-series model
원전	Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370.	Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48.
별칭	Exponential GARCH, EGARCH, Nelson EGARCH, log-GARCH	VAR, VAR model, vector autoregressive model, multivariate autoregression
관련	6	5
요약	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.	Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.