The article explores how Copula functions can help measure the relationship between different financial data sets, specifically in international gold and silver futures markets. By using Gumbel and Clayton Copulas, the researchers found that the lower tail dependence of the data was more accurate than the upper tail dependence. This method can provide valuable insights into how these markets are connected and can help predict future trends.