|
|
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 |
| |
0.528650 |
| |
0.528589 |
| |
0.527987 |
| |
0.527513 |
| |
0.527494 |
| |
0.527491 |
| |
0.527487 |
| |
0.526035 |
| |
0.525986 |
| |
0.525950 |
| |
0.525930 |
| |
0.525671 |
| |
0.525613 |
| |
0.525191 |
| |
0.524721 |
| |
0.524461 |
| |
0.524132 |
| |
0.524069 |
| |
0.523942 |
| |
0.523716 |
| |
0.523642 |
| |
0.523024 |
| |
0.522870 |
| |
0.522726 |
| |
0.522607 |
|
|
|
|
|
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.
|