|
|
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 |
| |
0.417491 |
| |
0.417478 |
| |
0.417468 |
| |
0.417393 |
| |
0.417379 |
| |
0.417355 |
| |
0.417355 |
| |
0.417298 |
| |
0.417284 |
| |
0.417185 |
| |
0.417159 |
| |
0.417092 |
| |
0.417049 |
| |
0.417020 |
| |
0.417000 |
| |
0.416995 |
| |
0.416976 |
| |
0.416899 |
| |
0.416738 |
| |
0.416737 |
| |
0.416722 |
| |
0.416682 |
| |
0.416538 |
| |
0.416491 |
| |
0.416438 |
|
|
|
|
|
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.
|