|
|
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 |
| |
-0.637005 |
| |
-0.637018 |
| |
-0.637056 |
| |
-0.637286 |
| |
-0.637299 |
| |
-0.637561 |
| |
-0.637624 |
| |
-0.637683 |
| |
-0.637782 |
| |
-0.637798 |
| |
-0.637803 |
| |
-0.637828 |
| |
-0.638199 |
| |
-0.638212 |
| |
-0.638263 |
| |
-0.638276 |
| |
-0.638299 |
| |
-0.638376 |
| |
-0.638447 |
| |
-0.638564 |
| |
-0.638591 |
| |
-0.638632 |
| |
-0.638755 |
| |
-0.638802 |
| |
-0.638830 |
|
|
|
|
|
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.
|