|
|
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 |
| |
0.085778 |
| |
0.085593 |
| |
0.085571 |
| |
0.085549 |
| |
0.085491 |
| |
0.085445 |
| |
0.085427 |
| |
0.085305 |
| |
0.085299 |
| |
0.085294 |
| |
0.085248 |
| |
0.085180 |
| |
0.085134 |
| |
0.085035 |
| |
0.085015 |
| |
0.085008 |
| |
0.084962 |
| |
0.084913 |
| |
0.084795 |
| |
0.084794 |
| |
0.084650 |
| |
0.084648 |
| |
0.084622 |
| |
0.084599 |
| |
0.084566 |
|
|
|
|
|
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.
|