|
|
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 |
| |
-0.194225 |
| |
-0.194279 |
| |
-0.194427 |
| |
-0.194483 |
| |
-0.194507 |
| |
-0.194527 |
| |
-0.194533 |
| |
-0.194560 |
| |
-0.194616 |
| |
-0.194619 |
| |
-0.194724 |
| |
-0.194730 |
| |
-0.194744 |
| |
-0.194767 |
| |
-0.194791 |
| |
-0.194940 |
| |
-0.194983 |
| |
-0.195080 |
| |
-0.195241 |
| |
-0.195260 |
| |
-0.195320 |
| |
-0.195365 |
| |
-0.195429 |
| |
-0.195528 |
| |
-0.195647 |
|
|
|
|
|
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.
|