|
|
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 |
| |
0.466143 |
| |
0.466084 |
| |
0.466008 |
| |
0.465929 |
| |
0.465929 |
| |
0.465880 |
| |
0.465869 |
| |
0.465850 |
| |
0.465808 |
| |
0.465759 |
| |
0.465706 |
| |
0.465698 |
| |
0.465676 |
| |
0.465662 |
| |
0.465649 |
| |
0.465495 |
| |
0.465476 |
| |
0.465427 |
| |
0.465278 |
| |
0.465245 |
| |
0.465226 |
| |
0.465185 |
| |
0.465110 |
| |
0.465040 |
| |
0.465028 |
|
|
|
|
|
 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.
|
