|
|
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 |
| |
0.078642 |
| |
0.078561 |
| |
0.078527 |
| |
0.078497 |
| |
0.078268 |
| |
0.078260 |
| |
0.078240 |
| |
0.078187 |
| |
0.078185 |
| |
0.078104 |
| |
0.078016 |
| |
0.077963 |
| |
0.077908 |
| |
0.077878 |
| |
0.077814 |
| |
0.077795 |
| |
0.077768 |
| |
0.077614 |
| |
0.077602 |
| |
0.077581 |
| |
0.077574 |
| |
0.077493 |
| |
0.077484 |
| |
0.077401 |
| |
0.077322 |
|
|
|
|
|
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.
|