|
|
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 |
| |
0.680776 |
| |
0.680587 |
| |
0.680580 |
| |
0.680550 |
| |
0.680510 |
| |
0.680294 |
| |
0.680294 |
| |
0.680231 |
| |
0.680131 |
| |
0.680061 |
| |
0.679457 |
| |
0.679441 |
| |
0.679406 |
| |
0.679403 |
| |
0.679342 |
| |
0.679324 |
| |
0.679197 |
| |
0.679117 |
| |
0.679092 |
| |
0.678942 |
| |
0.678626 |
| |
0.678461 |
| |
0.678417 |
| |
0.678411 |
| |
0.678160 |
|
|
|
|
|
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.
|