What is the BEKK model and how does it compare to DCC?

BEKK directly models the covariance matrix: H_t = C'C + A'eps_{t-1}eps_{t-1}'A + B'H_{t-1}B. It guarantees positive definiteness but has O(N^2) parameters, making it infeasible for large N. DCC scales linearly with N.

What is the maximum number of assets for DCC-GARCH?

DCC has only 2 parameters (a,b) regardless of N, so it scales well. Practical limits are driven by data requirements: T > 10*N observations are typically recommended for stable estimation.

Multivariate GARCH DCC-GARCH Portfolio Calculator

Build a complete multivariate DCC-GARCH model for portfolio risk estimation. Estimate univariate GARCH marginals, standardize residuals, estimate DCC, and construct time-varying covariance matrix.

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$ Finance Disclaimer: These calculators are for educational and illustrative purposes only. Results do not constitute financial advice. Consult a licensed financial advisor before making investment or borrowing decisions.

How to Use

Enter the values for the scenario you are assessing. Build a complete multivariate DCC-GARCH model for portfolio risk estimation. Estimate univariate GARCH marginals, standardize residuals, estimate DCC, and construct time-varying covariance matrix. Use the multivariate dcc garch result to inform your calculation.

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Frequently Asked Questions

What is the BEKK model and how does it compare to DCC?

What is the maximum number of assets for DCC-GARCH?