|
|
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 |
| |
-0.238510 |
| |
-0.238550 |
| |
-0.238555 |
| |
-0.238582 |
| |
-0.238586 |
| |
-0.238668 |
| |
-0.238673 |
| |
-0.238900 |
| |
-0.238918 |
| |
-0.238967 |
| |
-0.238987 |
| |
-0.239095 |
| |
-0.239125 |
| |
-0.239133 |
| |
-0.239147 |
| |
-0.239172 |
| |
-0.239293 |
| |
-0.239295 |
| |
-0.239327 |
| |
-0.239348 |
| |
-0.239382 |
| |
-0.239393 |
| |
-0.239414 |
| |
-0.239441 |
| |
-0.239452 |
|
|
|
|
|
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.
|