|
|
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 |
| |
0.322982 |
| |
0.322972 |
| |
0.322956 |
| |
0.322925 |
| |
0.322760 |
| |
0.322633 |
| |
0.322562 |
| |
0.322491 |
| |
0.322472 |
| |
0.322339 |
| |
0.322334 |
| |
0.322328 |
| |
0.322287 |
| |
0.322263 |
| |
0.322203 |
| |
0.322179 |
| |
0.322153 |
| |
0.322151 |
| |
0.322004 |
| |
0.321670 |
| |
0.321662 |
| |
0.321433 |
| |
0.321361 |
| |
0.321125 |
| |
0.321114 |
|
|
|
|
|
 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.
|
