|
|
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 |
| |
0.247300 |
| |
0.247049 |
| |
0.246921 |
| |
0.246891 |
| |
0.246764 |
| |
0.246740 |
| |
0.246520 |
| |
0.246403 |
| |
0.246358 |
| |
0.246285 |
| |
0.246146 |
| |
0.246052 |
| |
0.245990 |
| |
0.245879 |
| |
0.245856 |
| |
0.245824 |
| |
0.245791 |
| |
0.245759 |
| |
0.245729 |
| |
0.245578 |
| |
0.245530 |
| |
0.245323 |
| |
0.245056 |
| |
0.245051 |
| |
0.245046 |
|
|
|
|
|
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.
|