|
|
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 |
| |
0.653605 |
| |
0.653533 |
| |
0.653487 |
| |
0.653387 |
| |
0.653387 |
| |
0.653366 |
| |
0.653260 |
| |
0.653122 |
| |
0.653094 |
| |
0.653037 |
| |
0.653031 |
| |
0.652856 |
| |
0.652856 |
| |
0.652845 |
| |
0.652679 |
| |
0.652313 |
| |
0.652239 |
| |
0.651938 |
| |
0.651719 |
| |
0.651433 |
| |
0.651400 |
| |
0.651045 |
| |
0.651045 |
| |
0.651009 |
| |
0.650872 |
|
|
|
|
|
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.
|