|
|
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 |
| |
0.021721 |
| |
0.021709 |
| |
0.021678 |
| |
0.021553 |
| |
0.021537 |
| |
0.021531 |
| |
0.021518 |
| |
0.021508 |
| |
0.021426 |
| |
0.021258 |
| |
0.021168 |
| |
0.021162 |
| |
0.021093 |
| |
0.021043 |
| |
0.021037 |
| |
0.021024 |
| |
0.021005 |
| |
0.021002 |
| |
0.021000 |
| |
0.020993 |
| |
0.020973 |
| |
0.020950 |
| |
0.020848 |
| |
0.020824 |
| |
0.020802 |
|
|
|
|
|
 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.
|
