The article explores how extreme events in energy prices are related using copulas and extreme value theory. By analyzing large price changes, the researchers found that combining these methods accurately models extreme dependence between variables. This approach helps create flexible probability distributions and simulate multivariate distributions effectively. The study shows that the copula model, when combined with extreme value theory, is a useful tool for understanding extreme price changes in energy markets.