Why Use Rank Correlation in Simulation Methods?

When performing a risk analysis using Monte Carlo simulation, there are various measures of dependence; among them, we can name the Pearson correlation coefficient and the non-parametric rank correlation coefficient (Spearman’s correlation coefficient); the later being the most commonly used. The correlation represents the co-movement of two cost components; when one is more expensive, the […]