|
|
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 |
| |
-0.382408 |
| |
-0.382408 |
| |
-0.382415 |
| |
-0.382490 |
| |
-0.382529 |
| |
-0.382631 |
| |
-0.382635 |
| |
-0.382779 |
| |
-0.382829 |
| |
-0.382843 |
| |
-0.382852 |
| |
-0.382910 |
| |
-0.382946 |
| |
-0.383052 |
| |
-0.383112 |
| |
-0.383208 |
| |
-0.383255 |
| |
-0.383336 |
| |
-0.383476 |
| |
-0.383517 |
| |
-0.383541 |
| |
-0.383573 |
| |
-0.383600 |
| |
-0.383627 |
| |
-0.383648 |
|
|
|
|
|
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.
|