|
|
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 |
| |
-0.287608 |
| |
-0.287640 |
| |
-0.287650 |
| |
-0.287652 |
| |
-0.287653 |
| |
-0.287944 |
| |
-0.287993 |
| |
-0.288373 |
| |
-0.288559 |
| |
-0.288648 |
| |
-0.288791 |
| |
-0.288998 |
| |
-0.289044 |
| |
-0.289327 |
| |
-0.289342 |
| |
-0.289486 |
| |
-0.289584 |
| |
-0.289991 |
| |
-0.290391 |
| |
-0.290509 |
| |
-0.290801 |
| |
-0.290833 |
| |
-0.290989 |
| |
-0.291191 |
| |
-0.291204 |
|
|
|
|
|
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.
|