|
|
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 |
| |
0.560987 |
| |
0.560897 |
| |
0.560895 |
| |
0.560676 |
| |
0.560621 |
| |
0.560512 |
| |
0.560393 |
| |
0.559813 |
| |
0.559698 |
| |
0.559160 |
| |
0.558908 |
| |
0.558901 |
| |
0.558748 |
| |
0.558629 |
| |
0.558596 |
| |
0.558581 |
| |
0.558523 |
| |
0.558523 |
| |
0.558507 |
| |
0.558394 |
| |
0.558255 |
| |
0.558226 |
| |
0.558149 |
| |
0.558105 |
| |
0.558084 |
|
|
|
|
|
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.
|