|
|
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 |
| |
0.595330 |
| |
0.595250 |
| |
0.595120 |
| |
0.595111 |
| |
0.595110 |
| |
0.595091 |
| |
0.595065 |
| |
0.595055 |
| |
0.594834 |
| |
0.594832 |
| |
0.594814 |
| |
0.594801 |
| |
0.594801 |
| |
0.594746 |
| |
0.594696 |
| |
0.594687 |
| |
0.594665 |
| |
0.594634 |
| |
0.594573 |
| |
0.594534 |
| |
0.594534 |
| |
0.594499 |
| |
0.594445 |
| |
0.594419 |
| |
0.594397 |
|
|
|
|
|
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.
|