|
|
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 |
| |
-0.410283 |
| |
-0.410302 |
| |
-0.410343 |
| |
-0.410403 |
| |
-0.410496 |
| |
-0.410584 |
| |
-0.410690 |
| |
-0.410724 |
| |
-0.410858 |
| |
-0.411088 |
| |
-0.411193 |
| |
-0.411233 |
| |
-0.411381 |
| |
-0.411644 |
| |
-0.411940 |
| |
-0.412111 |
| |
-0.412192 |
| |
-0.412225 |
| |
-0.412415 |
| |
-0.412465 |
| |
-0.412528 |
| |
-0.412736 |
| |
-0.412758 |
| |
-0.412871 |
| |
-0.413005 |
|
|
|
|
|
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.
|