|
|
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 |
| |
-0.258792 |
| |
-0.258842 |
| |
-0.258995 |
| |
-0.259033 |
| |
-0.259112 |
| |
-0.259206 |
| |
-0.259220 |
| |
-0.259256 |
| |
-0.259318 |
| |
-0.259477 |
| |
-0.259607 |
| |
-0.259650 |
| |
-0.259664 |
| |
-0.259878 |
| |
-0.259928 |
| |
-0.260035 |
| |
-0.260199 |
| |
-0.260207 |
| |
-0.260306 |
| |
-0.260393 |
| |
-0.260732 |
| |
-0.260894 |
| |
-0.260906 |
| |
-0.260960 |
| |
-0.261114 |
|
|
|
|
|
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.
|