|
|
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 |
| |
-0.130411 |
| |
-0.130411 |
| |
-0.130586 |
| |
-0.130632 |
| |
-0.130704 |
| |
-0.131011 |
| |
-0.131191 |
| |
-0.131272 |
| |
-0.131280 |
| |
-0.131301 |
| |
-0.131325 |
| |
-0.131338 |
| |
-0.131787 |
| |
-0.131924 |
| |
-0.131947 |
| |
-0.131981 |
| |
-0.132028 |
| |
-0.132223 |
| |
-0.132367 |
| |
-0.132577 |
| |
-0.132601 |
| |
-0.132662 |
| |
-0.132662 |
| |
-0.132699 |
| |
-0.132714 |
|
|
|
|
|
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.
|