|
|
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 |
| |
0.477126 |
| |
0.477104 |
| |
0.477103 |
| |
0.477089 |
| |
0.476958 |
| |
0.476876 |
| |
0.476853 |
| |
0.476836 |
| |
0.476752 |
| |
0.476732 |
| |
0.476717 |
| |
0.476674 |
| |
0.476578 |
| |
0.476509 |
| |
0.476504 |
| |
0.476390 |
| |
0.476380 |
| |
0.476370 |
| |
0.476357 |
| |
0.476294 |
| |
0.476227 |
| |
0.476218 |
| |
0.476195 |
| |
0.476172 |
| |
0.476130 |
|
|
|
|
|
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.
|