|
|
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 |
| |
0.738975 |
| |
0.738970 |
| |
0.738968 |
| |
0.738922 |
| |
0.738842 |
| |
0.738835 |
| |
0.738673 |
| |
0.738630 |
| |
0.738609 |
| |
0.738607 |
| |
0.738582 |
| |
0.738574 |
| |
0.738515 |
| |
0.738482 |
| |
0.738446 |
| |
0.738436 |
| |
0.738434 |
| |
0.738432 |
| |
0.738412 |
| |
0.738386 |
| |
0.738379 |
| |
0.738356 |
| |
0.738334 |
| |
0.738315 |
| |
0.738283 |
|
|
|
|
|
 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.
|
