|
|
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 |
| |
0.602589 |
| |
0.602472 |
| |
0.602410 |
| |
0.602263 |
| |
0.602128 |
| |
0.602120 |
| |
0.602066 |
| |
0.601907 |
| |
0.601851 |
| |
0.601850 |
| |
0.601777 |
| |
0.601766 |
| |
0.601727 |
| |
0.601627 |
| |
0.601488 |
| |
0.601463 |
| |
0.601267 |
| |
0.601230 |
| |
0.601125 |
| |
0.601061 |
| |
0.601041 |
| |
0.601034 |
| |
0.600928 |
| |
0.600864 |
| |
0.600782 |
|
|
|
|
|
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.
|