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ARCH-LM-testen for volatilitetsklustering×Eksponentiell GARCH (EGARCH)×
FagfeltØkonometriØkonometri
FamilieRegression modelRegression model
Opprinnelsesår19821991
OpphavspersonRobert F. EngleNelson
TypeLagrange multiplier diagnostic test for conditional heteroscedasticityConditional volatility model (asymmetric GARCH variant)
Opprinnelig kildeEngle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), 987-1007. DOI ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗
AliasARCH-LM Testi ve Volatilite Kümelenmesi Analizi, ARCH LM test, Engle's ARCH test, test for autoregressive conditional heteroscedasticityexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Relaterte64
SammendragThe ARCH-LM test is Robert Engle's (1982) Lagrange multiplier diagnostic for autoregressive conditional heteroscedasticity in the residuals of a fitted time-series model. It checks whether the error variance changes over time and clusters into calm and turbulent periods, and it is the standard pre-test run before fitting a GARCH-family volatility model.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.
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ScholarGateSammenlign metoder: ARCH-LM Test · EGARCH. Hentet 2026-06-18 fra https://scholargate.app/no/compare