|
|
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 |
| |
-0.179143 |
| |
-0.179155 |
| |
-0.179305 |
| |
-0.179406 |
| |
-0.180143 |
| |
-0.180333 |
| |
-0.180454 |
| |
-0.180736 |
| |
-0.180736 |
| |
-0.180882 |
| |
-0.181086 |
| |
-0.181256 |
| |
-0.181256 |
| |
-0.181292 |
| |
-0.181298 |
| |
-0.181545 |
| |
-0.181715 |
| |
-0.181752 |
| |
-0.181774 |
| |
-0.181965 |
| |
-0.182025 |
| |
-0.182171 |
| |
-0.182192 |
| |
-0.182448 |
| |
-0.182835 |
|
|
|
|
|
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.
|