|
|
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 |
| |
-0.484306 |
| |
-0.484315 |
| |
-0.484323 |
| |
-0.484382 |
| |
-0.484451 |
| |
-0.484496 |
| |
-0.484502 |
| |
-0.484650 |
| |
-0.484680 |
| |
-0.484810 |
| |
-0.484812 |
| |
-0.484861 |
| |
-0.485037 |
| |
-0.485083 |
| |
-0.485685 |
| |
-0.485883 |
| |
-0.485982 |
| |
-0.486014 |
| |
-0.486024 |
| |
-0.486048 |
| |
-0.486148 |
| |
-0.486187 |
| |
-0.486187 |
| |
-0.486204 |
| |
-0.486246 |
|
|
|
|
|
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.
|