|
|
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 |
| |
-0.448959 |
| |
-0.448979 |
| |
-0.449069 |
| |
-0.449069 |
| |
-0.449210 |
| |
-0.449255 |
| |
-0.449296 |
| |
-0.449300 |
| |
-0.449359 |
| |
-0.449394 |
| |
-0.449394 |
| |
-0.449461 |
| |
-0.449483 |
| |
-0.449502 |
| |
-0.449511 |
| |
-0.449530 |
| |
-0.449546 |
| |
-0.449678 |
| |
-0.449680 |
| |
-0.449680 |
| |
-0.449697 |
| |
-0.449725 |
| |
-0.449742 |
| |
-0.449772 |
| |
-0.449830 |
|
|
|
|
|
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.
|