|
|
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 |
| |
-0.625532 |
| |
-0.625631 |
| |
-0.625649 |
| |
-0.625662 |
| |
-0.625809 |
| |
-0.625857 |
| |
-0.626185 |
| |
-0.626314 |
| |
-0.626360 |
| |
-0.626541 |
| |
-0.626751 |
| |
-0.627138 |
| |
-0.627257 |
| |
-0.627258 |
| |
-0.627325 |
| |
-0.627337 |
| |
-0.627348 |
| |
-0.627409 |
| |
-0.627479 |
| |
-0.627493 |
| |
-0.627523 |
| |
-0.627527 |
| |
-0.627806 |
| |
-0.627816 |
| |
-0.627830 |
|
|
|
|
|
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.
|