|
|
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 |
| |
-0.291224 |
| |
-0.291256 |
| |
-0.291819 |
| |
-0.291945 |
| |
-0.292722 |
| |
-0.292741 |
| |
-0.293090 |
| |
-0.293122 |
| |
-0.293122 |
| |
-0.293356 |
| |
-0.293680 |
| |
-0.293772 |
| |
-0.293772 |
| |
-0.293907 |
| |
-0.294110 |
| |
-0.294313 |
| |
-0.294430 |
| |
-0.294430 |
| |
-0.294569 |
| |
-0.294865 |
| |
-0.294881 |
| |
-0.294971 |
| |
-0.295004 |
| |
-0.295042 |
| |
-0.295067 |
|
|
|
|
|
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.
|