|
|
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 |
| |
0.342790 |
| |
0.342503 |
| |
0.342468 |
| |
0.342422 |
| |
0.342416 |
| |
0.342387 |
| |
0.342312 |
| |
0.342157 |
| |
0.342108 |
| |
0.341907 |
| |
0.341880 |
| |
0.341595 |
| |
0.341487 |
| |
0.341387 |
| |
0.341238 |
| |
0.341051 |
| |
0.341045 |
| |
0.340966 |
| |
0.340781 |
| |
0.340749 |
| |
0.340630 |
| |
0.340508 |
| |
0.340484 |
| |
0.340483 |
| |
0.340413 |
|
|
|
|
|
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.
|