|
|
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 |
| |
-0.489605 |
| |
-0.489849 |
| |
-0.489986 |
| |
-0.490072 |
| |
-0.490072 |
| |
-0.490611 |
| |
-0.490742 |
| |
-0.490827 |
| |
-0.491125 |
| |
-0.491512 |
| |
-0.491896 |
| |
-0.492419 |
| |
-0.492482 |
| |
-0.492855 |
| |
-0.493141 |
| |
-0.493480 |
| |
-0.493543 |
| |
-0.494102 |
| |
-0.494102 |
| |
-0.494205 |
| |
-0.494470 |
| |
-0.494533 |
| |
-0.494533 |
| |
-0.494860 |
| |
-0.495344 |
|
|
|
|
|
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.
|