|
|
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 |
| |
-0.184721 |
| |
-0.184963 |
| |
-0.185000 |
| |
-0.185209 |
| |
-0.185639 |
| |
-0.185828 |
| |
-0.186517 |
| |
-0.186616 |
| |
-0.186700 |
| |
-0.186743 |
| |
-0.186936 |
| |
-0.187365 |
| |
-0.187492 |
| |
-0.187729 |
| |
-0.187742 |
| |
-0.188138 |
| |
-0.188266 |
| |
-0.188669 |
| |
-0.188814 |
| |
-0.188886 |
| |
-0.188972 |
| |
-0.188988 |
| |
-0.189058 |
| |
-0.189155 |
| |
-0.189240 |
|
|
|
|
|
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.
|