|
|
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 |
| |
-0.178419 |
| |
-0.178426 |
| |
-0.178510 |
| |
-0.178514 |
| |
-0.178541 |
| |
-0.178582 |
| |
-0.178591 |
| |
-0.178630 |
| |
-0.178783 |
| |
-0.178791 |
| |
-0.178824 |
| |
-0.178848 |
| |
-0.178852 |
| |
-0.178944 |
| |
-0.178957 |
| |
-0.178992 |
| |
-0.178992 |
| |
-0.179080 |
| |
-0.179112 |
| |
-0.179147 |
| |
-0.179157 |
| |
-0.179172 |
| |
-0.179298 |
| |
-0.179395 |
| |
-0.179463 |
|
|
|
|
|
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.
|