Estimation value at risk by using Conditional Copula-GARCH

This function estimate VaR of portfolio composed of two stocks return

You are now following this Submission

the copula111cGarch111VaR function estimate VaR (Value at Risk) of portfolio composed of two stocks return and extract number of violation of VaR The method of estimation is conditional copula- GARCH model.
the marginals have GARCH(1,1)and copula function is Clayton copula.

Cite As

Ali Najjar (2026). Estimation value at risk by using Conditional Copula-GARCH (https://uk.mathworks.com/matlabcentral/fileexchange/32153-estimation-value-at-risk-by-using-conditional-copula-garch), MATLAB Central File Exchange. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0.0