|
|
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 |
| |
0.575954 |
| |
0.575794 |
| |
0.575763 |
| |
0.575558 |
| |
0.575534 |
| |
0.575468 |
| |
0.575402 |
| |
0.575401 |
| |
0.575146 |
| |
0.575035 |
| |
0.574889 |
| |
0.574782 |
| |
0.574306 |
| |
0.574255 |
| |
0.574239 |
| |
0.574218 |
| |
0.574179 |
| |
0.574105 |
| |
0.574091 |
| |
0.573878 |
| |
0.573838 |
| |
0.573826 |
| |
0.573377 |
| |
0.573333 |
| |
0.573260 |
|
|
|
|
|
 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.
|
