|
|
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 |
| |
0.443961 |
| |
0.443905 |
| |
0.443851 |
| |
0.443759 |
| |
0.443741 |
| |
0.443694 |
| |
0.443684 |
| |
0.443527 |
| |
0.443474 |
| |
0.443457 |
| |
0.443370 |
| |
0.443252 |
| |
0.443111 |
| |
0.443100 |
| |
0.443092 |
| |
0.442908 |
| |
0.442882 |
| |
0.442851 |
| |
0.442825 |
| |
0.442802 |
| |
0.442554 |
| |
0.442508 |
| |
0.442501 |
| |
0.442487 |
| |
0.442472 |
|
|
|
|
|
 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.
|
