Estimation risk in covariance is a common issue in financial analysis. The researchers in this study focused on developing a method to accurately estimate covariance matrices, which are crucial for understanding relationships between different assets. By using a new approach that considers the uncertainty in the estimation process, the researchers found that traditional methods may underestimate the true risk in financial portfolios. This study highlights the importance of accounting for estimation risk when making investment decisions.