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ARCH-LM検定(ボラティリティ・クラスタリングのため)×GJR-GARCH(非対称GARCH)×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年19821993
提唱者Robert F. EngleGlosten, Jagannathan & Runkle (1993); Zakoian (1994)
種類Lagrange multiplier diagnostic test for conditional heteroscedasticityAsymmetric conditional volatility model
原典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 ↗
別名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)
関連65
概要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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ScholarGate手法を比較: ARCH-LM Test · GJR-GARCH. 2026-06-19に以下より取得 https://scholargate.app/ja/compare