|
|
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 |
| |
-0.806371 |
| |
-0.806374 |
| |
-0.806451 |
| |
-0.806648 |
| |
-0.806649 |
| |
-0.806665 |
| |
-0.806823 |
| |
-0.806959 |
| |
-0.807014 |
| |
-0.807209 |
| |
-0.807247 |
| |
-0.807261 |
| |
-0.807277 |
| |
-0.807375 |
| |
-0.807451 |
| |
-0.807496 |
| |
-0.807508 |
| |
-0.807645 |
| |
-0.807683 |
| |
-0.807812 |
| |
-0.807868 |
| |
-0.807920 |
| |
-0.807979 |
| |
-0.807998 |
| |
-0.808001 |
|
|
|
|
|
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.
|