|
|
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 |
| |
0.144539 |
| |
0.144441 |
| |
0.144202 |
| |
0.143961 |
| |
0.143868 |
| |
0.143774 |
| |
0.143606 |
| |
0.143404 |
| |
0.143381 |
| |
0.143320 |
| |
0.143224 |
| |
0.142973 |
| |
0.142927 |
| |
0.142815 |
| |
0.142784 |
| |
0.142771 |
| |
0.142629 |
| |
0.142485 |
| |
0.142202 |
| |
0.142184 |
| |
0.142134 |
| |
0.142013 |
| |
0.141998 |
| |
0.141710 |
| |
0.141406 |
|
|
|
|
|
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.
|