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Modeli Jo-linear EGARCH×Modeli GARCH (Parashikimi i Volatilitetit)×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës19911986
KrijuesiDaniel B. NelsonTim Bollerslev
LlojiConditional volatility modelConditional volatility model
Burimi themeluesNelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
Emërtime të tjeraNL-EGARCH, nonlinear exponential GARCH, asymmetric EGARCH, NEGARCHGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Të lidhura55
PërmbledhjaThe Nonlinear EGARCH model extends Nelson's (1991) Exponential GARCH by allowing the news impact function to take a flexible nonlinear form, capturing asymmetric and nonlinear responses of conditional volatility to past shocks. It is widely used in financial econometrics to model leverage effects and complex volatility dynamics in asset returns.The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.
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ScholarGateKrahasoni metodat: Nonlinear EGARCH model · GARCH Model. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare