|
|
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 |
| |
0.328036 |
| |
0.328022 |
| |
0.327733 |
| |
0.327719 |
| |
0.327682 |
| |
0.327544 |
| |
0.327543 |
| |
0.327532 |
| |
0.327520 |
| |
0.327520 |
| |
0.327515 |
| |
0.327356 |
| |
0.327326 |
| |
0.327297 |
| |
0.327237 |
| |
0.327232 |
| |
0.327217 |
| |
0.327182 |
| |
0.327131 |
| |
0.327037 |
| |
0.327036 |
| |
0.326962 |
| |
0.326902 |
| |
0.326894 |
| |
0.326795 |
|
|
|
|
|
 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.
|
