|
|
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 |
| |
0.361706 |
| |
0.361694 |
| |
0.361664 |
| |
0.361628 |
| |
0.361624 |
| |
0.361541 |
| |
0.361531 |
| |
0.361464 |
| |
0.361459 |
| |
0.361454 |
| |
0.361451 |
| |
0.361410 |
| |
0.361346 |
| |
0.361333 |
| |
0.361327 |
| |
0.361282 |
| |
0.361038 |
| |
0.361027 |
| |
0.361012 |
| |
0.360841 |
| |
0.360841 |
| |
0.360728 |
| |
0.360695 |
| |
0.360657 |
| |
0.360347 |
|
|
|
|
|
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.
|