|
|
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 |
| |
0.230716 |
| |
0.230663 |
| |
0.230657 |
| |
0.230585 |
| |
0.230572 |
| |
0.230558 |
| |
0.230534 |
| |
0.230419 |
| |
0.230301 |
| |
0.230286 |
| |
0.230276 |
| |
0.230276 |
| |
0.230170 |
| |
0.230154 |
| |
0.230154 |
| |
0.230119 |
| |
0.230014 |
| |
0.229948 |
| |
0.229946 |
| |
0.229941 |
| |
0.229923 |
| |
0.229840 |
| |
0.229834 |
| |
0.229765 |
| |
0.229764 |
|
|
|
|
|
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.
|