|
|
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 |
| |
0.348085 |
| |
0.348049 |
| |
0.348026 |
| |
0.348002 |
| |
0.348001 |
| |
0.347885 |
| |
0.347828 |
| |
0.347782 |
| |
0.347614 |
| |
0.347582 |
| |
0.347547 |
| |
0.347539 |
| |
0.347535 |
| |
0.347532 |
| |
0.347472 |
| |
0.347441 |
| |
0.347412 |
| |
0.347339 |
| |
0.347309 |
| |
0.347308 |
| |
0.347229 |
| |
0.347229 |
| |
0.347217 |
| |
0.347188 |
| |
0.347177 |
|
|
|
|
|
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.
|