|
|
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 |
| |
-0.071726 |
| |
-0.072315 |
| |
-0.072363 |
| |
-0.072516 |
| |
-0.072630 |
| |
-0.072898 |
| |
-0.072909 |
| |
-0.073028 |
| |
-0.073208 |
| |
-0.073392 |
| |
-0.073410 |
| |
-0.073797 |
| |
-0.074379 |
| |
-0.074451 |
| |
-0.074515 |
| |
-0.074696 |
| |
-0.075335 |
| |
-0.075358 |
| |
-0.075540 |
| |
-0.075612 |
| |
-0.075621 |
| |
-0.076119 |
| |
-0.076389 |
| |
-0.076928 |
| |
-0.077796 |
|
|
|
|
|
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.
|