|
|
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 |
| |
0.209734 |
| |
0.209717 |
| |
0.209682 |
| |
0.209601 |
| |
0.209576 |
| |
0.209523 |
| |
0.209425 |
| |
0.209306 |
| |
0.209251 |
| |
0.209235 |
| |
0.209215 |
| |
0.209190 |
| |
0.209071 |
| |
0.209058 |
| |
0.208953 |
| |
0.208919 |
| |
0.208745 |
| |
0.208588 |
| |
0.208582 |
| |
0.208543 |
| |
0.208470 |
| |
0.208443 |
| |
0.208209 |
| |
0.208144 |
| |
0.208140 |
|
|
|
|
|
 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.
|
