|
|
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 |
| |
-0.655878 |
| |
-0.655887 |
| |
-0.656022 |
| |
-0.656186 |
| |
-0.656190 |
| |
-0.656199 |
| |
-0.656243 |
| |
-0.656307 |
| |
-0.656363 |
| |
-0.656406 |
| |
-0.656439 |
| |
-0.656439 |
| |
-0.656483 |
| |
-0.656519 |
| |
-0.656680 |
| |
-0.656706 |
| |
-0.656787 |
| |
-0.656819 |
| |
-0.656854 |
| |
-0.656961 |
| |
-0.657048 |
| |
-0.657066 |
| |
-0.657096 |
| |
-0.657114 |
| |
-0.657139 |
|
|
|
|
|
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.
|