|
|
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 |
| |
-0.232056 |
| |
-0.232071 |
| |
-0.232073 |
| |
-0.232137 |
| |
-0.232240 |
| |
-0.232250 |
| |
-0.232325 |
| |
-0.232343 |
| |
-0.232372 |
| |
-0.232388 |
| |
-0.232416 |
| |
-0.232435 |
| |
-0.232437 |
| |
-0.232442 |
| |
-0.232488 |
| |
-0.232607 |
| |
-0.232675 |
| |
-0.232709 |
| |
-0.232709 |
| |
-0.232718 |
| |
-0.232777 |
| |
-0.232850 |
| |
-0.232954 |
| |
-0.232976 |
| |
-0.233001 |
|
|
|
|
|
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.
|