|
|
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 |
| |
-0.294948 |
| |
-0.295159 |
| |
-0.295840 |
| |
-0.295880 |
| |
-0.295882 |
| |
-0.295962 |
| |
-0.296398 |
| |
-0.296520 |
| |
-0.296679 |
| |
-0.296679 |
| |
-0.296752 |
| |
-0.296887 |
| |
-0.297281 |
| |
-0.297304 |
| |
-0.297406 |
| |
-0.297562 |
| |
-0.297562 |
| |
-0.297755 |
| |
-0.298167 |
| |
-0.298185 |
| |
-0.298189 |
| |
-0.298290 |
| |
-0.298360 |
| |
-0.299049 |
| |
-0.299139 |
|
|
|
|
|
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.
|