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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)×一般化自己回帰条件付き分散 (GARCH)×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年19821986
提唱者Robert F. EngleTim Bollerslev
種類Lagrange multiplier diagnostic test for conditional heteroscedasticityConditional 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 ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327. DOI ↗
別名ARCH-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
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.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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ScholarGate手法を比較: ARCH-LM Test · GARCH. 2026-06-18に以下より取得 https://scholargate.app/ja/compare