Regression modelVolatility models

BEKK-GARCH: Multivariate Conditional Volatility Modeling

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.

Apply with EconMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Engle, R. F., & Kroner, K. F. (1995). Multivariate simultaneous generalized ARCH. Econometric Theory, 11(1), 122–150. DOI: 10.1017/S0266466600009063

Related methods

ScholarGateBEKK-GARCH (BEKK Multivariate GARCH). Retrieved 2026-06-04 from https://scholargate.app/en/econometrics/bekk-garch