|
|
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 |
| |
-0.433500 |
| |
-0.433511 |
| |
-0.433511 |
| |
-0.433527 |
| |
-0.433574 |
| |
-0.433616 |
| |
-0.433683 |
| |
-0.433722 |
| |
-0.433738 |
| |
-0.433739 |
| |
-0.433773 |
| |
-0.433905 |
| |
-0.433933 |
| |
-0.434000 |
| |
-0.434027 |
| |
-0.434027 |
| |
-0.434172 |
| |
-0.434189 |
| |
-0.434220 |
| |
-0.434222 |
| |
-0.434248 |
| |
-0.434308 |
| |
-0.434456 |
| |
-0.434486 |
| |
-0.434491 |
|
|
|
|
|
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.
|