|
|
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 |
| |
0.437582 |
| |
0.437571 |
| |
0.437566 |
| |
0.437541 |
| |
0.437538 |
| |
0.437538 |
| |
0.437535 |
| |
0.437447 |
| |
0.437403 |
| |
0.437400 |
| |
0.437298 |
| |
0.437275 |
| |
0.437226 |
| |
0.437175 |
| |
0.437173 |
| |
0.437115 |
| |
0.437073 |
| |
0.437072 |
| |
0.437041 |
| |
0.437005 |
| |
0.436977 |
| |
0.436936 |
| |
0.436849 |
| |
0.436813 |
| |
0.436783 |
|
|
|
|
|
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.
|