|
|
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 |
| |
0.297813 |
| |
0.297522 |
| |
0.297227 |
| |
0.296851 |
| |
0.296848 |
| |
0.296693 |
| |
0.296677 |
| |
0.296416 |
| |
0.295811 |
| |
0.295782 |
| |
0.295644 |
| |
0.295454 |
| |
0.295189 |
| |
0.295131 |
| |
0.295119 |
| |
0.295066 |
| |
0.295033 |
| |
0.294999 |
| |
0.294731 |
| |
0.294516 |
| |
0.294388 |
| |
0.293936 |
| |
0.293898 |
| |
0.293501 |
| |
0.293501 |
|
|
|
|
|
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.
|