|
|
Correlation analysis helps identify the relationship between two or more companies, showing how they move about each other. It helps assess patterns, manage risk, and improve decision-making by revealing which assets correlate positively or negatively.
|
|
|
|
| Symbol | Correlation |
| |
-0.309220 |
| |
-0.309427 |
| |
-0.309581 |
| |
-0.309674 |
| |
-0.309681 |
| |
-0.309684 |
| |
-0.309692 |
| |
-0.309714 |
| |
-0.309806 |
| |
-0.309809 |
| |
-0.309877 |
| |
-0.309884 |
| |
-0.309886 |
| |
-0.309917 |
| |
-0.310021 |
| |
-0.310153 |
| |
-0.310198 |
| |
-0.310229 |
| |
-0.310341 |
| |
-0.310354 |
| |
-0.310412 |
| |
-0.310418 |
| |
-0.310485 |
| |
-0.310560 |
| |
-0.310626 |
|
|
|
|
|
Stock Correlation - Explanation
Stock Correlation is the statistical measure of the relationship between two stocks. The correlation coefficient ranges between -1 and +1. A correlation of +1 implies that the two stocks will move in the same direction 100% of the time. A correlation of -1 implies the two stocks will move in the opposite direction 100% of the time. A correlation of zero implies that the relationship between the stocks is completely random. Correlations do not always remain stable and can even change on a daily basis. Correlation analysis can help you to diversify your positions. An imperfect correlation between two different stocks allows for more diversification and marginally lower risk.
|