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Eksponencijalni GARCH (EGARCH)×Regresija običnih najmanjih kvadrata (OLS)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19912019
TvoracNelsonWooldridge (textbook treatment); classical least squares
TipConditional volatility model (asymmetric GARCH variant)Linear regression
Temeljni izvorNelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Drugi naziviexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCHordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Srodne45
SažetakEGARCH 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.Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).
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ScholarGateUporedite metode: EGARCH · OLS Regression. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare