|
|
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 |
| |
0.931397 |
| |
0.931397 |
| |
0.931382 |
| |
0.931008 |
| |
0.931008 |
| |
0.931007 |
| |
0.930636 |
| |
0.930428 |
| |
0.930261 |
| |
0.930137 |
| |
0.930124 |
| |
0.930052 |
| |
0.930009 |
| |
0.929691 |
| |
0.929411 |
| |
0.929301 |
| |
0.929231 |
| |
0.928860 |
| |
0.928533 |
| |
0.927536 |
| |
0.927287 |
| |
0.927119 |
| |
0.927073 |
| |
0.926982 |
| |
0.926588 |
|
|
|
|
|
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.
|