|
|
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 |
| |
-0.374579 |
| |
-0.374682 |
| |
-0.374803 |
| |
-0.374892 |
| |
-0.375157 |
| |
-0.375157 |
| |
-0.375168 |
| |
-0.375476 |
| |
-0.375537 |
| |
-0.375817 |
| |
-0.375852 |
| |
-0.375974 |
| |
-0.376007 |
| |
-0.376430 |
| |
-0.376502 |
| |
-0.376865 |
| |
-0.376936 |
| |
-0.377014 |
| |
-0.377070 |
| |
-0.377081 |
| |
-0.377094 |
| |
-0.377144 |
| |
-0.377193 |
| |
-0.377247 |
| |
-0.377262 |
|
|
|
|
|
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.
|