|
|
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 |
| |
0.824081 |
| |
0.824027 |
| |
0.824011 |
| |
0.823920 |
| |
0.823877 |
| |
0.823876 |
| |
0.823860 |
| |
0.823807 |
| |
0.823751 |
| |
0.823712 |
| |
0.823663 |
| |
0.823641 |
| |
0.823633 |
| |
0.823577 |
| |
0.823569 |
| |
0.823458 |
| |
0.823458 |
| |
0.823402 |
| |
0.823350 |
| |
0.823293 |
| |
0.823177 |
| |
0.823136 |
| |
0.823133 |
| |
0.823129 |
| |
0.823112 |
|
|
|
|
|
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.
|