|
|
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 |
| |
-0.397563 |
| |
-0.397810 |
| |
-0.397820 |
| |
-0.397857 |
| |
-0.397867 |
| |
-0.397918 |
| |
-0.397966 |
| |
-0.398042 |
| |
-0.398131 |
| |
-0.398212 |
| |
-0.398285 |
| |
-0.398318 |
| |
-0.398379 |
| |
-0.398498 |
| |
-0.398510 |
| |
-0.398518 |
| |
-0.398546 |
| |
-0.398615 |
| |
-0.398648 |
| |
-0.398770 |
| |
-0.398838 |
| |
-0.398934 |
| |
-0.399007 |
| |
-0.399014 |
| |
-0.399080 |
|
|
|
|
|
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.
|