|
|
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 |
| |
-0.427326 |
| |
-0.427335 |
| |
-0.427353 |
| |
-0.427409 |
| |
-0.427440 |
| |
-0.427455 |
| |
-0.427470 |
| |
-0.427484 |
| |
-0.427508 |
| |
-0.427518 |
| |
-0.427520 |
| |
-0.427576 |
| |
-0.427595 |
| |
-0.427691 |
| |
-0.427741 |
| |
-0.427757 |
| |
-0.427768 |
| |
-0.427783 |
| |
-0.427815 |
| |
-0.427861 |
| |
-0.428037 |
| |
-0.428053 |
| |
-0.428053 |
| |
-0.428093 |
| |
-0.428148 |
|
|
|
|
|
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.
|