|
|
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 |
| |
0.675025 |
| |
0.674912 |
| |
0.674907 |
| |
0.674422 |
| |
0.674003 |
| |
0.673941 |
| |
0.673877 |
| |
0.673820 |
| |
0.673767 |
| |
0.673524 |
| |
0.673461 |
| |
0.673455 |
| |
0.673130 |
| |
0.672619 |
| |
0.672314 |
| |
0.672314 |
| |
0.671773 |
| |
0.671660 |
| |
0.671141 |
| |
0.671042 |
| |
0.670971 |
| |
0.670826 |
| |
0.670825 |
| |
0.670716 |
| |
0.670064 |
|
|
|
|
|
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.
|