|
|
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 |
| |
0.422777 |
| |
0.422691 |
| |
0.422643 |
| |
0.422624 |
| |
0.422561 |
| |
0.422530 |
| |
0.422530 |
| |
0.422473 |
| |
0.422463 |
| |
0.422377 |
| |
0.422366 |
| |
0.422315 |
| |
0.422307 |
| |
0.422136 |
| |
0.422118 |
| |
0.421960 |
| |
0.421754 |
| |
0.421545 |
| |
0.421478 |
| |
0.421376 |
| |
0.421234 |
| |
0.420707 |
| |
0.420623 |
| |
0.420491 |
| |
0.420350 |
|
|
|
|
|
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.
|