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ARCH-LM检验用于波动率聚集×指数 GARCH (EGARCH)×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份19821991
提出者Robert F. EngleNelson
类型Lagrange multiplier diagnostic test for conditional heteroscedasticityConditional volatility model (asymmetric GARCH variant)
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 ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗
别名ARCH-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
相关64
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.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.
ScholarGate数据集
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  2. 2 来源
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  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: ARCH-LM Test · EGARCH. 于 2026-06-18 检索自 https://scholargate.app/zh/compare