ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

ARCH-LM検定(ボラティリティ・クラスタリングのため)×指数 GARCH (EGARCH)×マルコフ体制スイッチングモデル (MS-AR / MS-VAR)×
分野計量経済学計量経済学計量経済学
系統Regression modelRegression modelRegression model
提唱年198219911989
提唱者Robert F. EngleNelsonHamilton (1989); Kim & Nelson (1999)
種類Lagrange multiplier diagnostic test for conditional heteroscedasticityConditional volatility model (asymmetric GARCH variant)Regime-switching time series 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 ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗Hamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357-384. DOI ↗
別名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 GARCHregime-switching model, Markov-switching autoregression, MS-AR, MS-VAR
関連645
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.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.The Markov regime-switching model lets the parameters of a time series change probabilistically across hidden regimes governed by a Markov chain. Introduced by Hamilton (1989) and developed further by Kim and Nelson (1999), it automatically detects business-cycle phases such as expansions and contractions.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: ARCH-LM Test · EGARCH · Markov-Switching Model. 2026-06-20に以下より取得 https://scholargate.app/ja/compare