|
|
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 |
| |
-0.129679 |
| |
-0.129738 |
| |
-0.129774 |
| |
-0.129803 |
| |
-0.129871 |
| |
-0.130000 |
| |
-0.130093 |
| |
-0.130151 |
| |
-0.130208 |
| |
-0.130329 |
| |
-0.130331 |
| |
-0.130385 |
| |
-0.130407 |
| |
-0.130432 |
| |
-0.130509 |
| |
-0.130697 |
| |
-0.130772 |
| |
-0.130785 |
| |
-0.130801 |
| |
-0.130858 |
| |
-0.130872 |
| |
-0.130872 |
| |
-0.130904 |
| |
-0.130979 |
| |
-0.131007 |
|
|
|
|
|
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.
|