|
|
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 |
| |
0.382292 |
| |
0.382272 |
| |
0.382254 |
| |
0.382154 |
| |
0.382041 |
| |
0.381973 |
| |
0.381950 |
| |
0.381802 |
| |
0.381707 |
| |
0.381644 |
| |
0.381534 |
| |
0.381416 |
| |
0.381307 |
| |
0.381271 |
| |
0.381262 |
| |
0.381233 |
| |
0.380988 |
| |
0.380959 |
| |
0.380941 |
| |
0.380882 |
| |
0.380868 |
| |
0.380791 |
| |
0.380626 |
| |
0.380594 |
| |
0.380531 |
|
|
|
|
|
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.
|