|
|
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 |
| |
-0.199659 |
| |
-0.199822 |
| |
-0.200033 |
| |
-0.200060 |
| |
-0.200552 |
| |
-0.200572 |
| |
-0.200616 |
| |
-0.200704 |
| |
-0.200820 |
| |
-0.200866 |
| |
-0.200937 |
| |
-0.200998 |
| |
-0.201030 |
| |
-0.201187 |
| |
-0.201228 |
| |
-0.201607 |
| |
-0.202146 |
| |
-0.202503 |
| |
-0.202858 |
| |
-0.202859 |
| |
-0.203165 |
| |
-0.203300 |
| |
-0.203300 |
| |
-0.203321 |
| |
-0.204286 |
|
|
|
|
|
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.
|