|
|
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 |
| |
0.635017 |
| |
0.634674 |
| |
0.634653 |
| |
0.634574 |
| |
0.634408 |
| |
0.634126 |
| |
0.633945 |
| |
0.633871 |
| |
0.633871 |
| |
0.633791 |
| |
0.633671 |
| |
0.633284 |
| |
0.633284 |
| |
0.633140 |
| |
0.633063 |
| |
0.632836 |
| |
0.632739 |
| |
0.632541 |
| |
0.632408 |
| |
0.632203 |
| |
0.631946 |
| |
0.631730 |
| |
0.631573 |
| |
0.631564 |
| |
0.631528 |
|
|
|
|
|
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.
|