|
|
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 |
| |
-0.608824 |
| |
-0.608825 |
| |
-0.608834 |
| |
-0.608861 |
| |
-0.608894 |
| |
-0.608916 |
| |
-0.608970 |
| |
-0.609031 |
| |
-0.609056 |
| |
-0.609088 |
| |
-0.609124 |
| |
-0.609150 |
| |
-0.609161 |
| |
-0.609188 |
| |
-0.609286 |
| |
-0.609304 |
| |
-0.609373 |
| |
-0.609453 |
| |
-0.609459 |
| |
-0.609523 |
| |
-0.609526 |
| |
-0.609526 |
| |
-0.609573 |
| |
-0.609584 |
| |
-0.609632 |
|
|
|
|
|
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.
|