|
|
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 |
| |
0.911970 |
| |
0.911944 |
| |
0.911597 |
| |
0.911495 |
| |
0.911374 |
| |
0.910952 |
| |
0.910761 |
| |
0.910627 |
| |
0.910521 |
| |
0.910519 |
| |
0.910224 |
| |
0.909954 |
| |
0.909728 |
| |
0.909702 |
| |
0.909631 |
| |
0.909549 |
| |
0.909460 |
| |
0.909402 |
| |
0.909301 |
| |
0.909246 |
| |
0.909237 |
| |
0.909165 |
| |
0.908329 |
| |
0.908325 |
| |
0.907871 |
|
|
|
|
|
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.
|