|
|
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 |
| |
0.798661 |
| |
0.798644 |
| |
0.798617 |
| |
0.798584 |
| |
0.798487 |
| |
0.798486 |
| |
0.798438 |
| |
0.798341 |
| |
0.798326 |
| |
0.798184 |
| |
0.798182 |
| |
0.798124 |
| |
0.798021 |
| |
0.798014 |
| |
0.798002 |
| |
0.797881 |
| |
0.797794 |
| |
0.797779 |
| |
0.797692 |
| |
0.797657 |
| |
0.797588 |
| |
0.797514 |
| |
0.797462 |
| |
0.797443 |
| |
0.797244 |
|
|
|
|
|
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.
|