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ARCH-LM tests par atklātām heteroskedastiskuma kļūdām×Generalizētā autoregresīvā nosacītā heteroskedastiskuma (GARCH) modelis×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads19821986
AutorsRobert F. EngleTim Bollerslev
TipsLagrange multiplier diagnostic test for conditional heteroscedasticityConditional volatility model
PirmavotsEngle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), 987-1007. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327. DOI ↗
Citi nosaukumiARCH-LM Testi ve Volatilite Kümelenmesi Analizi, ARCH LM test, Engle's ARCH test, test for autoregressive conditional heteroscedasticityGARCH(1,1), generalized ARCH, conditional volatility model, GARCH Modeli
Saistītās65
KopsavilkumsThe 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.GARCH is an econometric model for the time-varying volatility of financial time series, introduced by Tim Bollerslev in 1986 as a generalisation of Engle's ARCH model. It treats the conditional variance as a function of past squared shocks and past variances, capturing the volatility clustering seen in returns.
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ScholarGateSalīdzināt metodes: ARCH-LM Test · GARCH. Izgūts 2026-06-18 no https://scholargate.app/lv/compare