|
|
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 |
| |
0.283216 |
| |
0.283180 |
| |
0.283175 |
| |
0.283146 |
| |
0.283083 |
| |
0.283020 |
| |
0.282969 |
| |
0.282784 |
| |
0.282712 |
| |
0.282703 |
| |
0.282435 |
| |
0.282414 |
| |
0.282359 |
| |
0.282335 |
| |
0.282333 |
| |
0.282317 |
| |
0.282239 |
| |
0.282230 |
| |
0.282062 |
| |
0.282022 |
| |
0.281849 |
| |
0.281837 |
| |
0.281835 |
| |
0.281527 |
| |
0.281454 |
|
|
|
|
|
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.
|