|
|
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 |
| |
0.407062 |
| |
0.407062 |
| |
0.407031 |
| |
0.407010 |
| |
0.406972 |
| |
0.406938 |
| |
0.406931 |
| |
0.406922 |
| |
0.406911 |
| |
0.406892 |
| |
0.406887 |
| |
0.406887 |
| |
0.406844 |
| |
0.406835 |
| |
0.406835 |
| |
0.406826 |
| |
0.406819 |
| |
0.406799 |
| |
0.406773 |
| |
0.406732 |
| |
0.406723 |
| |
0.406699 |
| |
0.406686 |
| |
0.406686 |
| |
0.406686 |
|
|
|
|
|
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.
|