|
|
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 |
| |
-0.430645 |
| |
-0.430687 |
| |
-0.430733 |
| |
-0.430822 |
| |
-0.430827 |
| |
-0.430829 |
| |
-0.430943 |
| |
-0.430967 |
| |
-0.430982 |
| |
-0.430997 |
| |
-0.431018 |
| |
-0.431132 |
| |
-0.431175 |
| |
-0.431216 |
| |
-0.431300 |
| |
-0.431369 |
| |
-0.431481 |
| |
-0.431511 |
| |
-0.431609 |
| |
-0.431647 |
| |
-0.431653 |
| |
-0.431718 |
| |
-0.431750 |
| |
-0.431766 |
| |
-0.431782 |
|
|
|
|
|
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.
|