|
|
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 |
| |
0.911928 |
| |
0.911920 |
| |
0.911909 |
| |
0.911902 |
| |
0.911881 |
| |
0.911875 |
| |
0.911875 |
| |
0.911866 |
| |
0.911856 |
| |
0.911842 |
| |
0.911827 |
| |
0.911822 |
| |
0.911811 |
| |
0.911800 |
| |
0.911784 |
| |
0.911773 |
| |
0.911742 |
| |
0.911742 |
| |
0.911738 |
| |
0.911734 |
| |
0.911721 |
| |
0.911720 |
| |
0.911709 |
| |
0.911686 |
| |
0.911674 |
|
|
|
|
|
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.
|