|
|
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 |
| |
0.954242 |
| |
0.954105 |
| |
0.953966 |
| |
0.953961 |
| |
0.953921 |
| |
0.953834 |
| |
0.953810 |
| |
0.953685 |
| |
0.953661 |
| |
0.953633 |
| |
0.953600 |
| |
0.953237 |
| |
0.953112 |
| |
0.952904 |
| |
0.952855 |
| |
0.952648 |
| |
0.952634 |
| |
0.952572 |
| |
0.952511 |
| |
0.952383 |
| |
0.952336 |
| |
0.952113 |
| |
0.952053 |
| |
0.952046 |
| |
0.952010 |
|
|
|
|
|
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.
|