|
|
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 |
| |
-0.648594 |
| |
-0.648655 |
| |
-0.648734 |
| |
-0.648808 |
| |
-0.648851 |
| |
-0.648930 |
| |
-0.648950 |
| |
-0.648982 |
| |
-0.649016 |
| |
-0.649259 |
| |
-0.649379 |
| |
-0.649541 |
| |
-0.649595 |
| |
-0.649663 |
| |
-0.649714 |
| |
-0.649714 |
| |
-0.649854 |
| |
-0.649886 |
| |
-0.649934 |
| |
-0.649970 |
| |
-0.650022 |
| |
-0.650184 |
| |
-0.650254 |
| |
-0.650322 |
| |
-0.650369 |
|
|
|
|
|
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.
|