|
|
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 |
| |
-0.405343 |
| |
-0.405344 |
| |
-0.405354 |
| |
-0.405566 |
| |
-0.405595 |
| |
-0.405595 |
| |
-0.405615 |
| |
-0.405668 |
| |
-0.405692 |
| |
-0.405733 |
| |
-0.405772 |
| |
-0.405790 |
| |
-0.405804 |
| |
-0.405858 |
| |
-0.405879 |
| |
-0.405887 |
| |
-0.405935 |
| |
-0.406015 |
| |
-0.406211 |
| |
-0.406245 |
| |
-0.406310 |
| |
-0.406315 |
| |
-0.406328 |
| |
-0.406331 |
| |
-0.406348 |
|
|
|
|
|
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.
|