|
|
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 |
| |
-0.156083 |
| |
-0.156193 |
| |
-0.156236 |
| |
-0.156602 |
| |
-0.156654 |
| |
-0.156753 |
| |
-0.156899 |
| |
-0.157003 |
| |
-0.157005 |
| |
-0.157064 |
| |
-0.157110 |
| |
-0.157440 |
| |
-0.157758 |
| |
-0.157778 |
| |
-0.157878 |
| |
-0.157899 |
| |
-0.158028 |
| |
-0.158032 |
| |
-0.158168 |
| |
-0.158255 |
| |
-0.158556 |
| |
-0.158600 |
| |
-0.158600 |
| |
-0.158679 |
| |
-0.158720 |
|
|
|
|
|
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.
|