|
|
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 |
| |
1.000000 |
| |
0.999658 |
| |
0.997455 |
| |
0.996837 |
| |
0.990629 |
| |
0.990281 |
| |
0.990118 |
| |
0.989129 |
| |
0.985184 |
| |
0.982082 |
| |
0.980927 |
| |
0.918617 |
| |
0.917717 |
| |
0.912614 |
| |
0.912606 |
| |
0.909594 |
| |
0.909569 |
| |
0.904515 |
| |
0.902611 |
| |
0.902594 |
| |
0.898788 |
| |
0.898571 |
| |
0.894398 |
| |
0.892290 |
| |
0.891640 |
|
|
|
|
|
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.
|