|
|
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 |
| |
-0.442857 |
| |
-0.443020 |
| |
-0.443021 |
| |
-0.443108 |
| |
-0.443148 |
| |
-0.443208 |
| |
-0.443249 |
| |
-0.443395 |
| |
-0.443411 |
| |
-0.443425 |
| |
-0.443487 |
| |
-0.443631 |
| |
-0.443679 |
| |
-0.443746 |
| |
-0.443751 |
| |
-0.443757 |
| |
-0.443760 |
| |
-0.443925 |
| |
-0.443951 |
| |
-0.444091 |
| |
-0.444270 |
| |
-0.444333 |
| |
-0.444535 |
| |
-0.444567 |
| |
-0.444671 |
|
|
|
|
|
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.
|