|
|
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 |
| |
0.451015 |
| |
0.451014 |
| |
0.450949 |
| |
0.450823 |
| |
0.450758 |
| |
0.450702 |
| |
0.450674 |
| |
0.450366 |
| |
0.450342 |
| |
0.450279 |
| |
0.450274 |
| |
0.450242 |
| |
0.450232 |
| |
0.450140 |
| |
0.450094 |
| |
0.450009 |
| |
0.449927 |
| |
0.449927 |
| |
0.449921 |
| |
0.449879 |
| |
0.449865 |
| |
0.449788 |
| |
0.449731 |
| |
0.449722 |
| |
0.449709 |
|
|
|
|
|
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.
|