|
|
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 |
| |
-0.047605 |
| |
-0.047621 |
| |
-0.047748 |
| |
-0.047863 |
| |
-0.047869 |
| |
-0.047933 |
| |
-0.047950 |
| |
-0.048048 |
| |
-0.048107 |
| |
-0.048118 |
| |
-0.048118 |
| |
-0.048206 |
| |
-0.048240 |
| |
-0.048328 |
| |
-0.048328 |
| |
-0.048385 |
| |
-0.048427 |
| |
-0.048479 |
| |
-0.048567 |
| |
-0.048664 |
| |
-0.049025 |
| |
-0.049076 |
| |
-0.049159 |
| |
-0.049175 |
| |
-0.049240 |
|
|
|
|
|
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.
|