conditional heteroskedastic (EGARCH) model by Nelson & Cao (1991) is another form of the GARCH model. Formally, an EGARCH(p,q): log ⁡ σ t 2 = ω + ∑ k =...

S.; Hasbrouck, J. (1993). "Forecasting Volatility and Correlations with EGARCH models". Journal of Derivatives. 1 (2): 51–63. doi:10.3905/jod.1993.407877...

the collection comprises a wide variety of representation (GARCH, TARCH, EGARCH, FIGARCH, CGARCH, etc.). Here changes in variability are related to, or...

S.; Hasbrouck, J. (1993). "Forecasting Volatility and Correlations with EGARCH models". Journal of Derivatives. 1 (2): 51–63. doi:10.3905/jod.1993.407877...

Feb 2023 Volatility Forecasting in Emerging Markets, Mar 2023 Range-Based EGARCH Option Pricing Models, Jan 2011 "Metal Logic", in Seeking Alpha, August...

extended via numerous variants, including the NGARCH, TGARCH, IGARCH, LGARCH, EGARCH, GJR-GARCH, Power GARCH, Component GARCH, etc. Strictly, however, the conditional...

model generalizes ARCH by including lagged variances. Exponential GARCH (EGARCH) and other variants capture asymmetries (e.g. leverage effects). A distinct...

Christian M. (27 April 2015). "An almost closed form estimator for the EGARCH model" (PDF). Social Science Research Network. doi:10.2139/ssrn.2139516...

even during distressed periods like COVID-19. Comparing it to the ARIMA-EGARCH model, designed for handling various volatility aspects, both models yield...