|
|
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 |
| |
1.000000 |
| |
0.999956 |
| |
0.997594 |
| |
0.996827 |
| |
0.996795 |
| |
0.996466 |
| |
0.995907 |
| |
0.995653 |
| |
0.994529 |
| |
0.981431 |
| |
0.976337 |
| |
0.975871 |
| |
0.938413 |
| |
0.932841 |
| |
0.917626 |
| |
0.915961 |
| |
0.911696 |
| |
0.911680 |
| |
0.907565 |
| |
0.907205 |
| |
0.906818 |
| |
0.906372 |
| |
0.904062 |
| |
0.903369 |
| |
0.903250 |
|
|
|
|
|
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.
|