|
|
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 |
| |
0.282931 |
| |
0.282897 |
| |
0.282868 |
| |
0.282848 |
| |
0.282843 |
| |
0.282833 |
| |
0.282815 |
| |
0.282774 |
| |
0.282712 |
| |
0.282670 |
| |
0.282670 |
| |
0.282416 |
| |
0.282373 |
| |
0.282345 |
| |
0.282345 |
| |
0.282217 |
| |
0.282048 |
| |
0.282047 |
| |
0.282013 |
| |
0.281956 |
| |
0.281956 |
| |
0.281903 |
| |
0.281793 |
| |
0.281766 |
| |
0.281751 |
|
|
|
|
|
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.
|