|
|
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 |
| |
-0.623082 |
| |
-0.623126 |
| |
-0.623406 |
| |
-0.623425 |
| |
-0.623454 |
| |
-0.623479 |
| |
-0.623494 |
| |
-0.623513 |
| |
-0.623555 |
| |
-0.623653 |
| |
-0.623672 |
| |
-0.624208 |
| |
-0.624209 |
| |
-0.624210 |
| |
-0.624282 |
| |
-0.624292 |
| |
-0.624377 |
| |
-0.624412 |
| |
-0.624446 |
| |
-0.624450 |
| |
-0.624498 |
| |
-0.624655 |
| |
-0.624760 |
| |
-0.624793 |
| |
-0.624825 |
|
|
|
|
|
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.
|