|
|
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 |
| |
0.193982 |
| |
0.193946 |
| |
0.193869 |
| |
0.193817 |
| |
0.193815 |
| |
0.193773 |
| |
0.193770 |
| |
0.193762 |
| |
0.193730 |
| |
0.193666 |
| |
0.193634 |
| |
0.193486 |
| |
0.193244 |
| |
0.193226 |
| |
0.193039 |
| |
0.192956 |
| |
0.192941 |
| |
0.192941 |
| |
0.192804 |
| |
0.192797 |
| |
0.192792 |
| |
0.192734 |
| |
0.192703 |
| |
0.192654 |
| |
0.192652 |
|
|
|
|
|
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.
|