|
|
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 |
| |
-0.070473 |
| |
-0.070658 |
| |
-0.070671 |
| |
-0.070788 |
| |
-0.070803 |
| |
-0.070820 |
| |
-0.070894 |
| |
-0.070938 |
| |
-0.070970 |
| |
-0.070977 |
| |
-0.070980 |
| |
-0.071016 |
| |
-0.071089 |
| |
-0.071120 |
| |
-0.071150 |
| |
-0.071519 |
| |
-0.071545 |
| |
-0.071685 |
| |
-0.071706 |
| |
-0.071822 |
| |
-0.071852 |
| |
-0.071895 |
| |
-0.071932 |
| |
-0.071969 |
| |
-0.072006 |
|
|
|
|
|
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.
|