|
|
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 |
| |
0.311236 |
| |
0.311187 |
| |
0.311180 |
| |
0.311136 |
| |
0.311089 |
| |
0.310980 |
| |
0.310936 |
| |
0.310889 |
| |
0.310659 |
| |
0.310549 |
| |
0.310537 |
| |
0.310492 |
| |
0.310250 |
| |
0.310234 |
| |
0.310045 |
| |
0.309799 |
| |
0.309792 |
| |
0.309785 |
| |
0.309746 |
| |
0.309734 |
| |
0.309728 |
| |
0.309690 |
| |
0.309684 |
| |
0.309637 |
| |
0.309637 |
|
|
|
|
|
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.
|