|
|
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 |
| |
-0.549140 |
| |
-0.549455 |
| |
-0.549455 |
| |
-0.549639 |
| |
-0.549728 |
| |
-0.549728 |
| |
-0.549795 |
| |
-0.550303 |
| |
-0.550303 |
| |
-0.550318 |
| |
-0.550393 |
| |
-0.550783 |
| |
-0.550834 |
| |
-0.550850 |
| |
-0.551056 |
| |
-0.551109 |
| |
-0.551393 |
| |
-0.551434 |
| |
-0.551594 |
| |
-0.551624 |
| |
-0.551840 |
| |
-0.551950 |
| |
-0.552524 |
| |
-0.552606 |
| |
-0.552909 |
|
|
|
|
|
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.
|