|
|
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 |
| |
-0.180166 |
| |
-0.180368 |
| |
-0.180391 |
| |
-0.180481 |
| |
-0.180486 |
| |
-0.180505 |
| |
-0.180607 |
| |
-0.180748 |
| |
-0.180749 |
| |
-0.180998 |
| |
-0.181003 |
| |
-0.181357 |
| |
-0.181713 |
| |
-0.181863 |
| |
-0.181889 |
| |
-0.182077 |
| |
-0.182305 |
| |
-0.182308 |
| |
-0.182341 |
| |
-0.182439 |
| |
-0.182505 |
| |
-0.182571 |
| |
-0.182734 |
| |
-0.182807 |
| |
-0.182923 |
|
|
|
|
|
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.
|