|
|
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 |
| |
-0.415423 |
| |
-0.415702 |
| |
-0.415830 |
| |
-0.415885 |
| |
-0.415915 |
| |
-0.416183 |
| |
-0.416226 |
| |
-0.416227 |
| |
-0.416690 |
| |
-0.416760 |
| |
-0.416779 |
| |
-0.416898 |
| |
-0.416968 |
| |
-0.416987 |
| |
-0.416987 |
| |
-0.417095 |
| |
-0.417151 |
| |
-0.417227 |
| |
-0.417318 |
| |
-0.417324 |
| |
-0.417324 |
| |
-0.417696 |
| |
-0.417719 |
| |
-0.418142 |
| |
-0.418191 |
|
|
|
|
|
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.
|