|
|
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 |
| |
0.212317 |
| |
0.212296 |
| |
0.212288 |
| |
0.212262 |
| |
0.212260 |
| |
0.212260 |
| |
0.212240 |
| |
0.212195 |
| |
0.212194 |
| |
0.212142 |
| |
0.212115 |
| |
0.212114 |
| |
0.212114 |
| |
0.212086 |
| |
0.211994 |
| |
0.211885 |
| |
0.211839 |
| |
0.211834 |
| |
0.211834 |
| |
0.211729 |
| |
0.211690 |
| |
0.211629 |
| |
0.211565 |
| |
0.211483 |
| |
0.211229 |
|
|
|
|
|
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.
|