|
|
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 |
| |
0.715173 |
| |
0.715116 |
| |
0.715086 |
| |
0.715064 |
| |
0.714790 |
| |
0.714767 |
| |
0.714752 |
| |
0.714717 |
| |
0.714704 |
| |
0.714695 |
| |
0.714690 |
| |
0.714667 |
| |
0.714641 |
| |
0.714634 |
| |
0.714630 |
| |
0.714594 |
| |
0.714570 |
| |
0.714562 |
| |
0.714518 |
| |
0.714516 |
| |
0.714472 |
| |
0.714448 |
| |
0.714418 |
| |
0.714416 |
| |
0.714371 |
|
|
|
|
|
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.
|