|
|
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 |
| |
-0.657550 |
| |
-0.657621 |
| |
-0.657638 |
| |
-0.657681 |
| |
-0.657703 |
| |
-0.657706 |
| |
-0.657749 |
| |
-0.657763 |
| |
-0.657826 |
| |
-0.657861 |
| |
-0.657885 |
| |
-0.657891 |
| |
-0.657899 |
| |
-0.657914 |
| |
-0.657937 |
| |
-0.657953 |
| |
-0.657994 |
| |
-0.658036 |
| |
-0.658076 |
| |
-0.658127 |
| |
-0.658143 |
| |
-0.658161 |
| |
-0.658209 |
| |
-0.658244 |
| |
-0.658283 |
|
|
|
|
|
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.
|