|
|
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 |
| |
0.296594 |
| |
0.296571 |
| |
0.296561 |
| |
0.296479 |
| |
0.296393 |
| |
0.296393 |
| |
0.296356 |
| |
0.295633 |
| |
0.295580 |
| |
0.295565 |
| |
0.295562 |
| |
0.295432 |
| |
0.295409 |
| |
0.295385 |
| |
0.295345 |
| |
0.295342 |
| |
0.295331 |
| |
0.295221 |
| |
0.295178 |
| |
0.295171 |
| |
0.295161 |
| |
0.295146 |
| |
0.295100 |
| |
0.295026 |
| |
0.295004 |
|
|
|
|
|
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.
|