|
|
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 |
| |
-0.196632 |
| |
-0.196635 |
| |
-0.196661 |
| |
-0.196678 |
| |
-0.196706 |
| |
-0.196724 |
| |
-0.196728 |
| |
-0.196764 |
| |
-0.196814 |
| |
-0.196852 |
| |
-0.196873 |
| |
-0.196913 |
| |
-0.197010 |
| |
-0.197043 |
| |
-0.197092 |
| |
-0.197151 |
| |
-0.197258 |
| |
-0.197279 |
| |
-0.197301 |
| |
-0.197303 |
| |
-0.197345 |
| |
-0.197421 |
| |
-0.197463 |
| |
-0.197478 |
| |
-0.197487 |
|
|
|
|
|
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.
|