|
|
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 |
| |
-0.295799 |
| |
-0.295874 |
| |
-0.296091 |
| |
-0.296220 |
| |
-0.296230 |
| |
-0.296503 |
| |
-0.296503 |
| |
-0.296627 |
| |
-0.296866 |
| |
-0.297032 |
| |
-0.297144 |
| |
-0.297145 |
| |
-0.297173 |
| |
-0.297173 |
| |
-0.297209 |
| |
-0.297310 |
| |
-0.297310 |
| |
-0.297329 |
| |
-0.297486 |
| |
-0.297486 |
| |
-0.297531 |
| |
-0.297582 |
| |
-0.297599 |
| |
-0.297773 |
| |
-0.297941 |
|
|
|
|
|
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.
|