A correlation is a statistical measure of the relationship between two variables. The measure is best used in variables that demonstrate a linear relationship between each other. The correlation coefficient is a value that indicates the strength of the relationship between variables. The coefficient can take any values from 1 to 1.
The interpretations of the values are:
In the above correlation matrix we prepared using our data set of over 50 key fundamental financial metrics, we ran the correlations between a few key fundamental financial metrics to understand their impact on Earnings Per Share. We chose 3D Systems Corp in our analysis. As you can see, over the last 10 years, Earnings Per Share has a positive correlation between Cash Flow Liquidity, Gross Margin, and Profit Margin and a negative correlation between Debt Ratio, Operating Expense as a % of Sales, and Total Asset Turnover. Since each company will have its own correlation matrix, it's critical for portfolio and investment managers to incorporate these profiles into their asset allocation and risk mitigation strategies. In order to calculate the correlation coefficient you must undertake the following steps:
As you can see, the manual calculation of the correlation coefficient is an extremely tedious process, especially if the data sample is large. However, with SEC Reporting Analytics data set, now available Snowflake Data Marketplace, you don't need to spend hundreds of thousands of dollars and several years to develop quality quant financial training data. Your current team of data scientists, analytics managers, and portfolio managers can begin developing their own custom correlation, regression, and predictive analysis TODAY! We also provide adhoc correlation requests for individual tickers or a basket of tickers. Contact [email protected] with your requests. We look forward to hearing from you! Credit: SEC Reporting Analytics Corporate Finance Institute
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