|
|
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 |
| |
-0.315579 |
| |
-0.315606 |
| |
-0.315607 |
| |
-0.315615 |
| |
-0.315689 |
| |
-0.315897 |
| |
-0.315934 |
| |
-0.315975 |
| |
-0.315978 |
| |
-0.316009 |
| |
-0.316045 |
| |
-0.316082 |
| |
-0.316537 |
| |
-0.316572 |
| |
-0.316598 |
| |
-0.316608 |
| |
-0.316613 |
| |
-0.316684 |
| |
-0.316735 |
| |
-0.316871 |
| |
-0.316905 |
| |
-0.316957 |
| |
-0.317096 |
| |
-0.317188 |
| |
-0.317189 |
|
|
|
|
|
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.
|