|
|
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 |
| |
-0.647522 |
| |
-0.647533 |
| |
-0.647606 |
| |
-0.647649 |
| |
-0.647694 |
| |
-0.647699 |
| |
-0.647700 |
| |
-0.647700 |
| |
-0.647823 |
| |
-0.647841 |
| |
-0.647928 |
| |
-0.648011 |
| |
-0.648093 |
| |
-0.648144 |
| |
-0.648255 |
| |
-0.648382 |
| |
-0.648385 |
| |
-0.648469 |
| |
-0.648484 |
| |
-0.648545 |
| |
-0.648572 |
| |
-0.648643 |
| |
-0.648666 |
| |
-0.648730 |
| |
-0.648759 |
|
|
|
|
|
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.
|