|
|
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 |
| |
0.415104 |
| |
0.414998 |
| |
0.414892 |
| |
0.414655 |
| |
0.414613 |
| |
0.414599 |
| |
0.414569 |
| |
0.414557 |
| |
0.414403 |
| |
0.414382 |
| |
0.414356 |
| |
0.414339 |
| |
0.414256 |
| |
0.414246 |
| |
0.414242 |
| |
0.414218 |
| |
0.414209 |
| |
0.414170 |
| |
0.414165 |
| |
0.414158 |
| |
0.414152 |
| |
0.413772 |
| |
0.413763 |
| |
0.413675 |
| |
0.413632 |
|
|
|
|
|
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.
|