|
|
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 |
| |
0.909479 |
| |
0.909457 |
| |
0.909302 |
| |
0.909248 |
| |
0.909224 |
| |
0.909194 |
| |
0.909183 |
| |
0.909171 |
| |
0.909142 |
| |
0.909128 |
| |
0.909124 |
| |
0.909119 |
| |
0.908899 |
| |
0.908889 |
| |
0.908781 |
| |
0.908718 |
| |
0.908661 |
| |
0.908614 |
| |
0.908604 |
| |
0.908497 |
| |
0.908468 |
| |
0.908428 |
| |
0.908325 |
| |
0.908257 |
| |
0.908118 |
|
|
|
|
|
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.
|