|
|
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 |
| |
-0.131695 |
| |
-0.131695 |
| |
-0.131800 |
| |
-0.131849 |
| |
-0.131962 |
| |
-0.131962 |
| |
-0.132151 |
| |
-0.132263 |
| |
-0.132340 |
| |
-0.132417 |
| |
-0.132433 |
| |
-0.132438 |
| |
-0.132701 |
| |
-0.132755 |
| |
-0.132869 |
| |
-0.132916 |
| |
-0.132916 |
| |
-0.133057 |
| |
-0.133184 |
| |
-0.133290 |
| |
-0.133404 |
| |
-0.133456 |
| |
-0.133492 |
| |
-0.133544 |
| |
-0.133685 |
|
|
|
|
|
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.
|