|
|
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 |
| |
0.666692 |
| |
0.666640 |
| |
0.666573 |
| |
0.666516 |
| |
0.666414 |
| |
0.666285 |
| |
0.666276 |
| |
0.666092 |
| |
0.666011 |
| |
0.665685 |
| |
0.665586 |
| |
0.665495 |
| |
0.665289 |
| |
0.665184 |
| |
0.665062 |
| |
0.664795 |
| |
0.664674 |
| |
0.663962 |
| |
0.663951 |
| |
0.663851 |
| |
0.663848 |
| |
0.663804 |
| |
0.663746 |
| |
0.663527 |
| |
0.663491 |
|
|
|
|
|
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.
|