|
|
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 |
| |
0.320370 |
| |
0.320199 |
| |
0.320199 |
| |
0.320146 |
| |
0.320135 |
| |
0.320016 |
| |
0.320016 |
| |
0.319921 |
| |
0.319766 |
| |
0.319643 |
| |
0.319624 |
| |
0.319609 |
| |
0.319591 |
| |
0.319546 |
| |
0.319523 |
| |
0.319477 |
| |
0.319455 |
| |
0.319442 |
| |
0.319312 |
| |
0.319307 |
| |
0.319219 |
| |
0.319215 |
| |
0.319189 |
| |
0.319175 |
| |
0.319127 |
|
|
|
|
|
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.
|