|
|
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 |
| |
0.540856 |
| |
0.540845 |
| |
0.540753 |
| |
0.540696 |
| |
0.540488 |
| |
0.540390 |
| |
0.540274 |
| |
0.540100 |
| |
0.539869 |
| |
0.539822 |
| |
0.539757 |
| |
0.539660 |
| |
0.539600 |
| |
0.539579 |
| |
0.539445 |
| |
0.539230 |
| |
0.539096 |
| |
0.539055 |
| |
0.539001 |
| |
0.538927 |
| |
0.538908 |
| |
0.538823 |
| |
0.538819 |
| |
0.538794 |
| |
0.538784 |
|
|
|
|
|
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.
|