|
|
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 |
| |
0.077409 |
| |
0.077344 |
| |
0.077332 |
| |
0.077290 |
| |
0.077226 |
| |
0.077194 |
| |
0.077134 |
| |
0.077092 |
| |
0.076906 |
| |
0.076900 |
| |
0.076779 |
| |
0.076710 |
| |
0.076669 |
| |
0.076596 |
| |
0.076557 |
| |
0.076534 |
| |
0.076457 |
| |
0.076379 |
| |
0.076372 |
| |
0.076372 |
| |
0.076350 |
| |
0.076045 |
| |
0.076007 |
| |
0.076000 |
| |
0.076000 |
|
|
|
|
|
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.
|