|
|
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 |
| |
-0.105697 |
| |
-0.106078 |
| |
-0.106103 |
| |
-0.106206 |
| |
-0.106314 |
| |
-0.106443 |
| |
-0.106500 |
| |
-0.106578 |
| |
-0.106581 |
| |
-0.106585 |
| |
-0.106600 |
| |
-0.106956 |
| |
-0.106957 |
| |
-0.107095 |
| |
-0.107184 |
| |
-0.107373 |
| |
-0.107548 |
| |
-0.107600 |
| |
-0.107614 |
| |
-0.107764 |
| |
-0.107787 |
| |
-0.107808 |
| |
-0.107940 |
| |
-0.108115 |
| |
-0.108167 |
|
|
|
|
|
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.
|