|
|
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 |
| |
0.377965 |
| |
0.377860 |
| |
0.377763 |
| |
0.377582 |
| |
0.377428 |
| |
0.377334 |
| |
0.377283 |
| |
0.377160 |
| |
0.377146 |
| |
0.377035 |
| |
0.377035 |
| |
0.376972 |
| |
0.376961 |
| |
0.376699 |
| |
0.376672 |
| |
0.376546 |
| |
0.376511 |
| |
0.376257 |
| |
0.376254 |
| |
0.375818 |
| |
0.375807 |
| |
0.375749 |
| |
0.375746 |
| |
0.375738 |
| |
0.375430 |
|
|
|
|
|
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.
|