|
|
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 |
| |
0.289781 |
| |
0.289723 |
| |
0.289672 |
| |
0.289672 |
| |
0.289653 |
| |
0.289625 |
| |
0.289502 |
| |
0.289486 |
| |
0.289486 |
| |
0.289359 |
| |
0.289336 |
| |
0.289326 |
| |
0.289245 |
| |
0.289236 |
| |
0.289196 |
| |
0.289083 |
| |
0.289033 |
| |
0.289008 |
| |
0.288996 |
| |
0.288957 |
| |
0.288913 |
| |
0.288884 |
| |
0.288857 |
| |
0.288856 |
| |
0.288851 |
|
|
|
|
|
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.
|