|
|
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 |
| |
0.433043 |
| |
0.432964 |
| |
0.432816 |
| |
0.432733 |
| |
0.432627 |
| |
0.432617 |
| |
0.432600 |
| |
0.432546 |
| |
0.432473 |
| |
0.432203 |
| |
0.432169 |
| |
0.432128 |
| |
0.431980 |
| |
0.431748 |
| |
0.431676 |
| |
0.431585 |
| |
0.431341 |
| |
0.431338 |
| |
0.431135 |
| |
0.431126 |
| |
0.431124 |
| |
0.430873 |
| |
0.430655 |
| |
0.430582 |
| |
0.430570 |
|
|
|
|
|
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.
|