|
|
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 |
| |
0.947077 |
| |
0.946637 |
| |
0.945819 |
| |
0.945813 |
| |
0.945456 |
| |
0.943664 |
| |
0.943454 |
| |
0.942906 |
| |
0.942378 |
| |
0.942192 |
| |
0.942190 |
| |
0.941145 |
| |
0.941060 |
| |
0.940534 |
| |
0.939592 |
| |
0.939418 |
| |
0.938934 |
| |
0.938512 |
| |
0.938231 |
| |
0.937239 |
| |
0.937106 |
| |
0.936449 |
| |
0.936445 |
| |
0.936313 |
| |
0.936247 |
|
|
|
|
|
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.
|