|
|
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 |
| |
0.270321 |
| |
0.270278 |
| |
0.270140 |
| |
0.270066 |
| |
0.270003 |
| |
0.269939 |
| |
0.269889 |
| |
0.269853 |
| |
0.269827 |
| |
0.269825 |
| |
0.269784 |
| |
0.269741 |
| |
0.269738 |
| |
0.269703 |
| |
0.269676 |
| |
0.269618 |
| |
0.269605 |
| |
0.269549 |
| |
0.269514 |
| |
0.269440 |
| |
0.269404 |
| |
0.269392 |
| |
0.269218 |
| |
0.269200 |
| |
0.269193 |
|
|
|
|
|
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.
|