|
|
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 |
| |
-0.179115 |
| |
-0.179455 |
| |
-0.179739 |
| |
-0.179739 |
| |
-0.179838 |
| |
-0.179889 |
| |
-0.179898 |
| |
-0.180004 |
| |
-0.180028 |
| |
-0.180272 |
| |
-0.181491 |
| |
-0.181519 |
| |
-0.182043 |
| |
-0.182158 |
| |
-0.182160 |
| |
-0.182269 |
| |
-0.182329 |
| |
-0.182612 |
| |
-0.182808 |
| |
-0.182952 |
| |
-0.182983 |
| |
-0.183716 |
| |
-0.183873 |
| |
-0.184234 |
| |
-0.184487 |
|
|
|
|
|
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.
|