|
|
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 |
| |
-0.671327 |
| |
-0.671341 |
| |
-0.671349 |
| |
-0.671447 |
| |
-0.671464 |
| |
-0.671490 |
| |
-0.671769 |
| |
-0.671845 |
| |
-0.671854 |
| |
-0.671858 |
| |
-0.671934 |
| |
-0.671934 |
| |
-0.671964 |
| |
-0.671983 |
| |
-0.672032 |
| |
-0.672106 |
| |
-0.672109 |
| |
-0.672109 |
| |
-0.672138 |
| |
-0.672154 |
| |
-0.672294 |
| |
-0.672364 |
| |
-0.672373 |
| |
-0.672440 |
| |
-0.672486 |
|
|
|
|
|
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.
|