|
|
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 |
| |
-0.710229 |
| |
-0.710346 |
| |
-0.710513 |
| |
-0.710603 |
| |
-0.710603 |
| |
-0.710644 |
| |
-0.710756 |
| |
-0.710835 |
| |
-0.710887 |
| |
-0.711677 |
| |
-0.711742 |
| |
-0.711854 |
| |
-0.711874 |
| |
-0.711971 |
| |
-0.712029 |
| |
-0.712170 |
| |
-0.712172 |
| |
-0.712256 |
| |
-0.712285 |
| |
-0.712408 |
| |
-0.712428 |
| |
-0.712693 |
| |
-0.713129 |
| |
-0.713306 |
| |
-0.713463 |
|
|
|
|
|
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.
|