|
|
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 |
| |
0.216959 |
| |
0.216730 |
| |
0.216691 |
| |
0.216631 |
| |
0.216481 |
| |
0.216467 |
| |
0.216450 |
| |
0.216372 |
| |
0.216362 |
| |
0.216341 |
| |
0.216263 |
| |
0.216260 |
| |
0.216211 |
| |
0.216138 |
| |
0.216087 |
| |
0.216087 |
| |
0.216055 |
| |
0.215992 |
| |
0.215778 |
| |
0.215596 |
| |
0.215573 |
| |
0.215507 |
| |
0.215459 |
| |
0.215455 |
| |
0.215268 |
|
|
|
|
|
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.
|