In the above example, Apple and the S&P 500 have a correlation coefficient of 0.73817, which indicates a strong relationship between the two over 90 days of data.

Correlation coefficient measures the strength and direction of a linear relationship between two variables. It ranges from -1 to 1, where 1 indicates a perfect positive relationship and -1 ...

Interpretation of correlation coefficient. After computation of correlation coefficient between X and Y, it has to be tested for statistical significance by comparing calculated t value with table ...

Correlation coefficients can mean a positive, negative, or no relationship between two variables. Use correlation coefficients to help pick securities for your portfolio.

The formula for Pearson’s correlation coefficient, r, relates to how closely a line of best fit, or how well a linear regression, predicts the relationship between the two variables. It is presented ...

Extreme Correlation Coefficients . A correlation coefficient of zero or close to zero shows no meaningful relationship between variables. A coefficient of -1.0 or +1.0 indicates a perfect correlation.

The correlation coefficients of Chevron versus WTI, Brent, and Henry Hub natural gas prices stand at 0.67, 0.57, and 0.49, respectively.

This is reflected in the results of a correlation test. The correlation coefficients of Shell versus WTI, Brent, and Henry Hub natural gas prices stand at 0.83, 0.79, and 0.60, respectively.

The current 200-day correlation between stocks and bonds is at 0.87, strongly positive. But the correlation coefficient seems to be rolling over, moving lower in the past 15 trading sessions ...