|
|
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 |
| |
-0.383300 |
| |
-0.383371 |
| |
-0.383542 |
| |
-0.383554 |
| |
-0.383582 |
| |
-0.383735 |
| |
-0.383772 |
| |
-0.383772 |
| |
-0.383780 |
| |
-0.383969 |
| |
-0.383969 |
| |
-0.384015 |
| |
-0.384084 |
| |
-0.384108 |
| |
-0.384112 |
| |
-0.384291 |
| |
-0.384329 |
| |
-0.384390 |
| |
-0.384423 |
| |
-0.384495 |
| |
-0.384516 |
| |
-0.384527 |
| |
-0.384545 |
| |
-0.384551 |
| |
-0.384575 |
|
|
|
|
|
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.
|