The article explores using copulas to model intraday financial data from multiple assets. The researchers developed a method to estimate correlation coefficients for elliptical copulas and used Kendall's Tau for non-elliptical copulas. They found that the copula parameter was underestimated and proposed an improved estimator using a quadratic model. Simulations showed that the new estimator significantly reduced bias across various types of copulas. The methods were applied to real stock price data, demonstrating their effectiveness in capturing dependencies in financial returns.