|
|
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 |
| |
0.282129 |
| |
0.282013 |
| |
0.281997 |
| |
0.281983 |
| |
0.281718 |
| |
0.281698 |
| |
0.281404 |
| |
0.281361 |
| |
0.281300 |
| |
0.281274 |
| |
0.281049 |
| |
0.281036 |
| |
0.280989 |
| |
0.280967 |
| |
0.280852 |
| |
0.280671 |
| |
0.280538 |
| |
0.280441 |
| |
0.280194 |
| |
0.280141 |
| |
0.280060 |
| |
0.280038 |
| |
0.280019 |
| |
0.279681 |
| |
0.279593 |
|
|
|
|
|
 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.
|
