|
|
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 |
| |
0.463775 |
| |
0.463722 |
| |
0.463718 |
| |
0.463613 |
| |
0.463572 |
| |
0.463543 |
| |
0.463515 |
| |
0.463473 |
| |
0.463446 |
| |
0.463312 |
| |
0.463307 |
| |
0.463269 |
| |
0.463153 |
| |
0.463143 |
| |
0.463006 |
| |
0.462998 |
| |
0.462920 |
| |
0.462920 |
| |
0.462892 |
| |
0.462810 |
| |
0.462758 |
| |
0.462644 |
| |
0.462644 |
| |
0.462451 |
| |
0.462438 |
|
|
|
|
|
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.
|