เปรียบเทียบวิธี

	Exponential GARCH (EGARCH)	ความผันผวนที่รับรู้ได้และแบบจำลอง HAR
สาขาวิชา	เศรษฐมิติ	การเงิน
ตระกูล	Regression model	Regression model
ปีกำเนิด	1991	2009
ผู้ริเริ่ม	Nelson	Corsi (HAR model); Andersen, Bollerslev, Diebold & Labys (realized volatility)
ประเภท	Conditional volatility model (asymmetric GARCH variant)	Time-series regression of realized variance
แหล่งต้นตำรับ	Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370.	Corsi, F. (2009). A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics, 7(2), 174-196.
ชื่อเรียกอื่น	exponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH	realized variance, HAR model, heterogeneous autoregressive model of realized volatility, HAR-RV
ที่เกี่ยวข้อง	4	5
สรุป	EGARCH is an asymmetric GARCH variant, introduced by Nelson in 1991, that models the leverage effect in which bad news raises volatility more than good news of the same size. It captures the negative-shock asymmetry of financial return series by modelling the logarithm of the conditional variance.	Realized volatility estimates an asset's variance directly from high-frequency intraday returns rather than from a parametric latent process. The Heterogeneous Autoregressive (HAR) model of Corsi (2009), building on the realized-volatility framework of Andersen, Bollerslev, Diebold and Labys (2003), forecasts this measure by combining daily, weekly, and monthly volatility components, and is a strong alternative to GARCH for volatility prediction.