|
|
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 |
| |
0.883476 |
| |
0.883443 |
| |
0.883393 |
| |
0.883320 |
| |
0.883282 |
| |
0.883282 |
| |
0.883251 |
| |
0.883158 |
| |
0.883112 |
| |
0.883092 |
| |
0.883046 |
| |
0.883005 |
| |
0.882974 |
| |
0.882903 |
| |
0.882861 |
| |
0.882814 |
| |
0.882756 |
| |
0.882708 |
| |
0.882690 |
| |
0.882624 |
| |
0.882615 |
| |
0.882522 |
| |
0.882479 |
| |
0.882432 |
| |
0.882396 |
|
|
|
|
|
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.
|