Copulas are statistical tools used to model and analyze the dependence structure between random variables, allowing for the construction of multivariate distributions with specified marginal distributions. They are particularly useful in fields like finance and insurance for understanding joint behaviors and risk management, as they can capture complex dependencies beyond linear correlations.