|
|
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 |
| |
-0.681460 |
| |
-0.681699 |
| |
-0.681766 |
| |
-0.681795 |
| |
-0.681892 |
| |
-0.682020 |
| |
-0.682071 |
| |
-0.682116 |
| |
-0.682219 |
| |
-0.682227 |
| |
-0.682259 |
| |
-0.682645 |
| |
-0.682650 |
| |
-0.682754 |
| |
-0.682824 |
| |
-0.682905 |
| |
-0.682991 |
| |
-0.683001 |
| |
-0.683032 |
| |
-0.683087 |
| |
-0.683087 |
| |
-0.683120 |
| |
-0.683202 |
| |
-0.683220 |
| |
-0.683266 |
|
|
|
|
|
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.
|