Copulas are used to model complex relationships between financial data, like stock returns and exchange rates, without assuming they follow a normal pattern. Researchers have developed a new copula by mixing different families, allowing for more accurate modeling of fat-tailed data and dependencies. This new approach helps in selecting the best model for financial applications.