|
|
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 |
| |
0.255935 |
| |
0.255697 |
| |
0.255646 |
| |
0.255618 |
| |
0.255606 |
| |
0.255536 |
| |
0.255495 |
| |
0.255476 |
| |
0.255425 |
| |
0.255312 |
| |
0.255264 |
| |
0.255134 |
| |
0.255127 |
| |
0.255031 |
| |
0.254866 |
| |
0.254852 |
| |
0.254821 |
| |
0.254814 |
| |
0.254808 |
| |
0.254808 |
| |
0.254772 |
| |
0.254708 |
| |
0.254641 |
| |
0.254584 |
| |
0.254553 |
|
|
|
|
|
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.
|