|
|
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 |
| |
0.682250 |
| |
0.681917 |
| |
0.681904 |
| |
0.681797 |
| |
0.681557 |
| |
0.681528 |
| |
0.681386 |
| |
0.681200 |
| |
0.680996 |
| |
0.680966 |
| |
0.680901 |
| |
0.680730 |
| |
0.680630 |
| |
0.680589 |
| |
0.680351 |
| |
0.680125 |
| |
0.680106 |
| |
0.680003 |
| |
0.679930 |
| |
0.679877 |
| |
0.679528 |
| |
0.679514 |
| |
0.679436 |
| |
0.679414 |
| |
0.679255 |
|
|
|
|
|
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.
|