|
|
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 |
| |
-0.100593 |
| |
-0.100657 |
| |
-0.100694 |
| |
-0.100728 |
| |
-0.100800 |
| |
-0.100813 |
| |
-0.100822 |
| |
-0.100842 |
| |
-0.100850 |
| |
-0.100879 |
| |
-0.100884 |
| |
-0.100942 |
| |
-0.100957 |
| |
-0.100993 |
| |
-0.101017 |
| |
-0.101040 |
| |
-0.101058 |
| |
-0.101082 |
| |
-0.101085 |
| |
-0.101096 |
| |
-0.101107 |
| |
-0.101250 |
| |
-0.101332 |
| |
-0.101438 |
| |
-0.101445 |
|
|
|
|
|
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.
|