|
|
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 |
| |
-0.431790 |
| |
-0.431907 |
| |
-0.431912 |
| |
-0.431941 |
| |
-0.431941 |
| |
-0.432057 |
| |
-0.432064 |
| |
-0.432073 |
| |
-0.432097 |
| |
-0.432100 |
| |
-0.432142 |
| |
-0.432163 |
| |
-0.432200 |
| |
-0.432218 |
| |
-0.432243 |
| |
-0.432288 |
| |
-0.432380 |
| |
-0.432381 |
| |
-0.432389 |
| |
-0.432452 |
| |
-0.432714 |
| |
-0.432818 |
| |
-0.432821 |
| |
-0.432868 |
| |
-0.432908 |
|
|
|
|
|
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.
|