|
|
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 |
| |
0.211215 |
| |
0.211185 |
| |
0.211110 |
| |
0.211014 |
| |
0.211014 |
| |
0.211013 |
| |
0.211000 |
| |
0.210988 |
| |
0.210951 |
| |
0.210861 |
| |
0.210809 |
| |
0.210808 |
| |
0.210797 |
| |
0.210757 |
| |
0.210653 |
| |
0.210608 |
| |
0.210514 |
| |
0.210506 |
| |
0.210395 |
| |
0.210295 |
| |
0.210249 |
| |
0.210205 |
| |
0.210111 |
| |
0.210097 |
| |
0.210097 |
|
|
|
|
|
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.
|