|
|
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 |
| |
-0.686433 |
| |
-0.686452 |
| |
-0.686505 |
| |
-0.686562 |
| |
-0.686567 |
| |
-0.686616 |
| |
-0.686618 |
| |
-0.686697 |
| |
-0.686782 |
| |
-0.686805 |
| |
-0.686828 |
| |
-0.686828 |
| |
-0.686846 |
| |
-0.686866 |
| |
-0.687098 |
| |
-0.687116 |
| |
-0.687137 |
| |
-0.687422 |
| |
-0.687427 |
| |
-0.687475 |
| |
-0.687491 |
| |
-0.687565 |
| |
-0.687570 |
| |
-0.687584 |
| |
-0.687635 |
|
|
|
|
|
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.
|