|
|
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 |
| |
-0.550477 |
| |
-0.550499 |
| |
-0.550572 |
| |
-0.550604 |
| |
-0.550624 |
| |
-0.550649 |
| |
-0.550654 |
| |
-0.550675 |
| |
-0.550924 |
| |
-0.550939 |
| |
-0.550992 |
| |
-0.551081 |
| |
-0.551157 |
| |
-0.551159 |
| |
-0.551212 |
| |
-0.551212 |
| |
-0.551228 |
| |
-0.551230 |
| |
-0.551260 |
| |
-0.551260 |
| |
-0.551261 |
| |
-0.551314 |
| |
-0.551528 |
| |
-0.551602 |
| |
-0.551619 |
|
|
|
|
|
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.
|