The article introduces a new statistical test called Vector Variance of Standardized Variables (VVSV) to assess the stability of correlation matrices without the need for complex computations. By focusing on the variance of standardized variables, the researchers found an alternative way to determine the asymptotic variance of the sample vector variance. This approach overcomes the limitations of traditional methods and provides a more efficient way to analyze high-dimensional data sets.