Authors :
Luisa Trombetta Burić
Volume/Issue :
Volume 8 - 2023, Issue 12 - December
Google Scholar :
http://tinyurl.com/9jf9xbnp
Scribd :
http://tinyurl.com/mvmha8u5
DOI :
https://doi.org/10.5281/zenodo.10487914
Abstract :
This paper explored the application of three
widely utilized correlation coefficients - Pearson,
Spearman, and Kendall in the context of financial data.
The Pearson correlation coefficient, Spearman rank
correlation coefficient, and Kendall's tau are extensively
examined in capital market analyses for their ability to
capture relationships between two or more financial
variables such as investment funds rankings by different
criteria (returns, risk, costs, etc.), market portfolio
returns, stock exchange indexes and interest rates. For
each coefficient, a hypothetical example was provided.
First example was demonstrated application of
Pearson’s correlation coefficient in analysing the
relationship between stock returns and market index
movements. Second example was demonstrated
application of Spearman’s rank correlation coefficient in
analysing the relationship between interest rates and
bond prices. Finally, third example was demonstrated
application of Kendall’s rank correlation coefficient in
comparing fund rankings by three different criteria.
Every hypothetical example provided instructions how
these coefficients can be used for making informed
business decisions in the capital market.
Keywords :
Capital market, Pearson correlation coefficient, Spearman's rank correlation coefficient, Kendall's tau correlation coefficient.
This paper explored the application of three
widely utilized correlation coefficients - Pearson,
Spearman, and Kendall in the context of financial data.
The Pearson correlation coefficient, Spearman rank
correlation coefficient, and Kendall's tau are extensively
examined in capital market analyses for their ability to
capture relationships between two or more financial
variables such as investment funds rankings by different
criteria (returns, risk, costs, etc.), market portfolio
returns, stock exchange indexes and interest rates. For
each coefficient, a hypothetical example was provided.
First example was demonstrated application of
Pearson’s correlation coefficient in analysing the
relationship between stock returns and market index
movements. Second example was demonstrated
application of Spearman’s rank correlation coefficient in
analysing the relationship between interest rates and
bond prices. Finally, third example was demonstrated
application of Kendall’s rank correlation coefficient in
comparing fund rankings by three different criteria.
Every hypothetical example provided instructions how
these coefficients can be used for making informed
business decisions in the capital market.
Keywords :
Capital market, Pearson correlation coefficient, Spearman's rank correlation coefficient, Kendall's tau correlation coefficient.