|
|
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 |
| |
0.598497 |
| |
0.597928 |
| |
0.597322 |
| |
0.597317 |
| |
0.597101 |
| |
0.597005 |
| |
0.596859 |
| |
0.596710 |
| |
0.596555 |
| |
0.596544 |
| |
0.596398 |
| |
0.596252 |
| |
0.596118 |
| |
0.595939 |
| |
0.595825 |
| |
0.595621 |
| |
0.595405 |
| |
0.595337 |
| |
0.595323 |
| |
0.595297 |
| |
0.595230 |
| |
0.595169 |
| |
0.595114 |
| |
0.595042 |
| |
0.594910 |
|
|
|
|
|
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.
|