|
|
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 |
| |
0.020129 |
| |
0.020062 |
| |
0.020046 |
| |
0.020045 |
| |
0.019972 |
| |
0.019916 |
| |
0.019889 |
| |
0.019856 |
| |
0.019841 |
| |
0.019779 |
| |
0.019659 |
| |
0.019650 |
| |
0.019632 |
| |
0.019468 |
| |
0.019465 |
| |
0.019396 |
| |
0.019330 |
| |
0.019263 |
| |
0.019244 |
| |
0.019179 |
| |
0.019120 |
| |
0.019006 |
| |
0.018936 |
| |
0.018802 |
| |
0.018769 |
|
|
|
|
|
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.
|