|
|
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 |
| |
-0.146454 |
| |
-0.146454 |
| |
-0.146513 |
| |
-0.146559 |
| |
-0.146572 |
| |
-0.146775 |
| |
-0.146877 |
| |
-0.146884 |
| |
-0.146989 |
| |
-0.146994 |
| |
-0.147166 |
| |
-0.147167 |
| |
-0.147173 |
| |
-0.147216 |
| |
-0.147233 |
| |
-0.147239 |
| |
-0.147336 |
| |
-0.147439 |
| |
-0.147476 |
| |
-0.147518 |
| |
-0.147578 |
| |
-0.147592 |
| |
-0.147671 |
| |
-0.147989 |
| |
-0.148018 |
|
|
|
|
|
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.
|