|
|
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 |
| |
0.389947 |
| |
0.389830 |
| |
0.389657 |
| |
0.389640 |
| |
0.389628 |
| |
0.389609 |
| |
0.389551 |
| |
0.389393 |
| |
0.389332 |
| |
0.389191 |
| |
0.389179 |
| |
0.389156 |
| |
0.389075 |
| |
0.389058 |
| |
0.389058 |
| |
0.389021 |
| |
0.388734 |
| |
0.388718 |
| |
0.388705 |
| |
0.388648 |
| |
0.388562 |
| |
0.388528 |
| |
0.388485 |
| |
0.388465 |
| |
0.388443 |
|
|
|
|
|
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.
|