What is Spearman’s Rank?
Spearman’s Rank Correlation Coefficient is used to discover the strength of a link between two sets of data. It is denoted by “ρ”.
A non-parametric measure of rank correlation is the coefficient of correlation (statistical dependence of ranking between two variables). It is a statistical measure of the strength of a monotonic relationship between paired data.
Example of Spearman’s Rank:
$ \rho = 1- \frac{6\sum di^{2}}{n(n^{2}-1)} $
ρ= Spearman correlation coefficient
di2= difference between the two ranks of observation
n= number of observations
Why is Spearman Correlation Coefficient important?
It aids in determining the strength of a trend or the occurrence of turning moments. This indicator can determine the relationship between a strong trend and price fluctuations in the stock market.
Owais Siddiqui
1 min read