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ARCH-LM检验用于波动率聚集×GJR-GARCH (不对称 GARCH)×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份19821993
提出者Robert F. EngleGlosten, Jagannathan & Runkle (1993); Zakoian (1994)
类型Lagrange multiplier diagnostic test for conditional heteroscedasticityAsymmetric conditional volatility model
开创性文献Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), 987-1007. DOI ↗Glosten, L. R., Jagannathan, R. & Runkle, D. E. (1993). On the Relation Between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of Finance, 48(5), 1779-1801. DOI ↗
别名ARCH-LM Testi ve Volatilite Kümelenmesi Analizi, ARCH LM test, Engle's ARCH test, test for autoregressive conditional heteroscedasticityasymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)
相关65
摘要The 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.GJR-GARCH is a variant of the GARCH conditional-volatility model that captures the asymmetric effect of negative shocks on volatility using an indicator variable. It was introduced by Glosten, Jagannathan and Runkle (1993), with a closely related threshold formulation by Zakoian (1994).
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  3. PUBLISHED

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ScholarGate方法对比: ARCH-LM Test · GJR-GARCH. 于 2026-06-19 检索自 https://scholargate.app/zh/compare