|
|
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 |
| |
0.400222 |
| |
0.400196 |
| |
0.400187 |
| |
0.400152 |
| |
0.400047 |
| |
0.400016 |
| |
0.399980 |
| |
0.399979 |
| |
0.399973 |
| |
0.399790 |
| |
0.399651 |
| |
0.399473 |
| |
0.399411 |
| |
0.399256 |
| |
0.399241 |
| |
0.399175 |
| |
0.399173 |
| |
0.399173 |
| |
0.398922 |
| |
0.398771 |
| |
0.398718 |
| |
0.398649 |
| |
0.398634 |
| |
0.398588 |
| |
0.398495 |
|
|
|
|
|
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.
|