|
|
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 |
| |
-0.760343 |
| |
-0.760479 |
| |
-0.760512 |
| |
-0.760525 |
| |
-0.760537 |
| |
-0.760578 |
| |
-0.760581 |
| |
-0.760634 |
| |
-0.760729 |
| |
-0.760730 |
| |
-0.760828 |
| |
-0.760845 |
| |
-0.760861 |
| |
-0.761002 |
| |
-0.761078 |
| |
-0.761344 |
| |
-0.761407 |
| |
-0.761431 |
| |
-0.761447 |
| |
-0.761465 |
| |
-0.761532 |
| |
-0.761605 |
| |
-0.761766 |
| |
-0.761792 |
| |
-0.761808 |
|
|
|
|
|
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.
|