|
|
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 |
| |
-0.225649 |
| |
-0.225657 |
| |
-0.225660 |
| |
-0.225732 |
| |
-0.225786 |
| |
-0.225825 |
| |
-0.225830 |
| |
-0.225860 |
| |
-0.225896 |
| |
-0.225904 |
| |
-0.225940 |
| |
-0.225950 |
| |
-0.225956 |
| |
-0.225995 |
| |
-0.226020 |
| |
-0.226039 |
| |
-0.226079 |
| |
-0.226098 |
| |
-0.226112 |
| |
-0.226135 |
| |
-0.226165 |
| |
-0.226167 |
| |
-0.226191 |
| |
-0.226205 |
| |
-0.226230 |
|
|
|
|
|
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.
|