|
|
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 |
| |
-0.903394 |
| |
-0.903403 |
| |
-0.903448 |
| |
-0.903514 |
| |
-0.903569 |
| |
-0.903569 |
| |
-0.903644 |
| |
-0.903680 |
| |
-0.903700 |
| |
-0.903808 |
| |
-0.903919 |
| |
-0.904139 |
| |
-0.904177 |
| |
-0.904407 |
| |
-0.904554 |
| |
-0.904584 |
| |
-0.904588 |
| |
-0.904648 |
| |
-0.904648 |
| |
-0.904667 |
| |
-0.904772 |
| |
-0.904900 |
| |
-0.905051 |
| |
-0.905054 |
| |
-0.905070 |
|
|
|
|
|
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.
|