|
|
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 |
| |
0.030494 |
| |
0.030362 |
| |
0.030311 |
| |
0.030301 |
| |
0.030201 |
| |
0.030191 |
| |
0.030177 |
| |
0.030169 |
| |
0.030131 |
| |
0.030085 |
| |
0.029996 |
| |
0.029936 |
| |
0.029884 |
| |
0.029866 |
| |
0.029840 |
| |
0.029800 |
| |
0.029661 |
| |
0.029660 |
| |
0.029584 |
| |
0.029536 |
| |
0.029414 |
| |
0.029390 |
| |
0.029387 |
| |
0.029366 |
| |
0.029340 |
|
|
|
|
|
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.
|