|
|
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 |
| |
0.217409 |
| |
0.217364 |
| |
0.217317 |
| |
0.217289 |
| |
0.217276 |
| |
0.217250 |
| |
0.217200 |
| |
0.217073 |
| |
0.217047 |
| |
0.216840 |
| |
0.216794 |
| |
0.216789 |
| |
0.216761 |
| |
0.216672 |
| |
0.216563 |
| |
0.216486 |
| |
0.216468 |
| |
0.216424 |
| |
0.216307 |
| |
0.216286 |
| |
0.216259 |
| |
0.216141 |
| |
0.216015 |
| |
0.215888 |
| |
0.215868 |
|
|
|
|
|
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.
|