|
|
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 |
| |
0.286551 |
| |
0.286499 |
| |
0.286467 |
| |
0.286442 |
| |
0.286354 |
| |
0.286297 |
| |
0.286285 |
| |
0.286277 |
| |
0.286236 |
| |
0.286227 |
| |
0.286161 |
| |
0.286149 |
| |
0.286120 |
| |
0.286091 |
| |
0.285984 |
| |
0.285869 |
| |
0.285869 |
| |
0.285759 |
| |
0.285692 |
| |
0.285684 |
| |
0.285677 |
| |
0.285629 |
| |
0.285626 |
| |
0.285613 |
| |
0.285607 |
|
|
|
|
|
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.
|