|
|
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 |
| |
0.140968 |
| |
0.140861 |
| |
0.140716 |
| |
0.140648 |
| |
0.140536 |
| |
0.140291 |
| |
0.140026 |
| |
0.140019 |
| |
0.139986 |
| |
0.139638 |
| |
0.139635 |
| |
0.139635 |
| |
0.139635 |
| |
0.139523 |
| |
0.139460 |
| |
0.139419 |
| |
0.139415 |
| |
0.139360 |
| |
0.139300 |
| |
0.139270 |
| |
0.139213 |
| |
0.139177 |
| |
0.139148 |
| |
0.139146 |
| |
0.139028 |
|
|
|
|
|
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.
|