|
|
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 |
| |
0.887739 |
| |
0.887546 |
| |
0.887521 |
| |
0.887387 |
| |
0.887375 |
| |
0.887286 |
| |
0.887279 |
| |
0.886941 |
| |
0.886865 |
| |
0.886805 |
| |
0.886582 |
| |
0.886499 |
| |
0.886396 |
| |
0.886226 |
| |
0.886182 |
| |
0.886170 |
| |
0.886161 |
| |
0.886051 |
| |
0.886051 |
| |
0.885964 |
| |
0.885864 |
| |
0.885834 |
| |
0.885822 |
| |
0.885805 |
| |
0.885762 |
|
|
|
|
|
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.
|