|
|
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 |
| |
0.307010 |
| |
0.306981 |
| |
0.306760 |
| |
0.306660 |
| |
0.306654 |
| |
0.306603 |
| |
0.306586 |
| |
0.306508 |
| |
0.306487 |
| |
0.306470 |
| |
0.306443 |
| |
0.306316 |
| |
0.306258 |
| |
0.306237 |
| |
0.306180 |
| |
0.306173 |
| |
0.306167 |
| |
0.306138 |
| |
0.306011 |
| |
0.306010 |
| |
0.305954 |
| |
0.305907 |
| |
0.305779 |
| |
0.305693 |
| |
0.305613 |
|
|
|
|
|
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.
|