|
|
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 |
| |
0.380846 |
| |
0.380590 |
| |
0.380244 |
| |
0.379906 |
| |
0.379482 |
| |
0.379397 |
| |
0.379383 |
| |
0.379171 |
| |
0.379052 |
| |
0.378636 |
| |
0.377758 |
| |
0.377613 |
| |
0.377473 |
| |
0.377378 |
| |
0.377309 |
| |
0.377225 |
| |
0.377198 |
| |
0.377128 |
| |
0.376885 |
| |
0.376722 |
| |
0.376118 |
| |
0.375647 |
| |
0.375567 |
| |
0.375404 |
| |
0.375201 |
|
|
|
|
|
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.
|