|
|
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 |
| |
0.039835 |
| |
0.039724 |
| |
0.039625 |
| |
0.039547 |
| |
0.039381 |
| |
0.039353 |
| |
0.039233 |
| |
0.039211 |
| |
0.039205 |
| |
0.039179 |
| |
0.039153 |
| |
0.039153 |
| |
0.039138 |
| |
0.039055 |
| |
0.039026 |
| |
0.038991 |
| |
0.038849 |
| |
0.038849 |
| |
0.038770 |
| |
0.038569 |
| |
0.038560 |
| |
0.038543 |
| |
0.038475 |
| |
0.038462 |
| |
0.038425 |
|
|
|
|
|
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.
|