|
|
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 |
| |
-0.726692 |
| |
-0.726704 |
| |
-0.726848 |
| |
-0.726852 |
| |
-0.726869 |
| |
-0.727026 |
| |
-0.727030 |
| |
-0.727072 |
| |
-0.727085 |
| |
-0.727110 |
| |
-0.727175 |
| |
-0.727284 |
| |
-0.727324 |
| |
-0.727354 |
| |
-0.727357 |
| |
-0.727362 |
| |
-0.727401 |
| |
-0.727459 |
| |
-0.727513 |
| |
-0.727517 |
| |
-0.727575 |
| |
-0.727629 |
| |
-0.727663 |
| |
-0.727675 |
| |
-0.727680 |
|
|
|
|
|
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.
|