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BEKK-GARCH: 多変量条件付きボラティリティモデリング×DCC-GARCH(動的条件付き相関)×
分野計量経済学ファイナンス
系統Regression modelRegression model
提唱年19952002
提唱者Robert Engle & Kenneth KronerRobert F. Engle
種類Multivariate conditional volatility modelMultivariate volatility model
原典Engle, R. F., & Kroner, K. F. (1995). Multivariate simultaneous generalized ARCH. Econometric Theory, 11(1), 122–150. DOI ↗Engle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate GARCH Models. Journal of Business & Economic Statistics, 20(3), 339-350. DOI ↗
別名BEKK Model, Baba-Engle-Kraft-Kroner GARCH, Multivariate BEKK, BEKK-ÇARCH Modelidynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyon
関連35
概要BEKK-GARCH, proposed by Engle and Kroner (1995), is a multivariate GARCH specification that models the time-varying conditional covariance matrix of a system of financial return series. Named after Baba, Engle, Kraft, and Kroner, it is the dominant framework for quantifying volatility spillovers and dynamic correlations across multiple assets or markets simultaneously, widely adopted by financial economists and risk managers since the mid-1990s.DCC-GARCH is Engle's (2002) multivariate volatility model that lets the correlations between several assets change over time. A separate univariate GARCH model is fitted to each series, and then the dynamic correlation matrix is estimated in a second, separate step.
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ScholarGate手法を比較: BEKK-GARCH · DCC-GARCH. 2026-06-19に以下より取得 https://scholargate.app/ja/compare