The objective this work is to calculate the VaR of portfolios via GARCH family models with normal and t-student distribution and via Monte Carlo Simulation. We used three portfolios composite with preferential stocks of five Ibovespa companies. The results show that the t distribution adjusts better to data, because the violation ratio of the VaR calculated with t distribution is less than the violation ratio estimated with normal distribution. | Estimating the VaR (Value-at-Risk) of Brazilian stock portfolios via garch family models and via monte carlo simulation
