|
|
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 |
| |
0.177870 |
| |
0.177595 |
| |
0.177548 |
| |
0.177427 |
| |
0.177376 |
| |
0.177305 |
| |
0.177303 |
| |
0.177295 |
| |
0.177190 |
| |
0.177081 |
| |
0.176989 |
| |
0.176945 |
| |
0.176941 |
| |
0.176871 |
| |
0.176863 |
| |
0.176839 |
| |
0.176787 |
| |
0.176786 |
| |
0.176721 |
| |
0.176646 |
| |
0.176637 |
| |
0.176620 |
| |
0.176579 |
| |
0.176547 |
| |
0.176508 |
|
|
|
|
|
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.
|