|
|
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 |
| |
0.296743 |
| |
0.296694 |
| |
0.296616 |
| |
0.296536 |
| |
0.296510 |
| |
0.296282 |
| |
0.296155 |
| |
0.296102 |
| |
0.296032 |
| |
0.295987 |
| |
0.295983 |
| |
0.295902 |
| |
0.295869 |
| |
0.295810 |
| |
0.295730 |
| |
0.295693 |
| |
0.295660 |
| |
0.295639 |
| |
0.295618 |
| |
0.295403 |
| |
0.295371 |
| |
0.295114 |
| |
0.294951 |
| |
0.294446 |
| |
0.294051 |
|
|
|
|
|
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.
|