|
|
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 |
| |
-0.465437 |
| |
-0.465656 |
| |
-0.465702 |
| |
-0.465829 |
| |
-0.465854 |
| |
-0.465868 |
| |
-0.465868 |
| |
-0.466039 |
| |
-0.466041 |
| |
-0.466109 |
| |
-0.466218 |
| |
-0.466218 |
| |
-0.466231 |
| |
-0.466270 |
| |
-0.466291 |
| |
-0.466444 |
| |
-0.466450 |
| |
-0.466505 |
| |
-0.466529 |
| |
-0.466627 |
| |
-0.466691 |
| |
-0.466773 |
| |
-0.466897 |
| |
-0.466972 |
| |
-0.467018 |
|
|
|
|
|
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.
|