|
|
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 |
| |
0.410700 |
| |
0.410692 |
| |
0.410647 |
| |
0.410644 |
| |
0.410622 |
| |
0.410591 |
| |
0.410583 |
| |
0.410574 |
| |
0.410534 |
| |
0.410502 |
| |
0.410458 |
| |
0.410443 |
| |
0.410390 |
| |
0.410344 |
| |
0.410303 |
| |
0.410277 |
| |
0.410252 |
| |
0.410241 |
| |
0.410222 |
| |
0.410198 |
| |
0.410189 |
| |
0.410187 |
| |
0.410154 |
| |
0.410108 |
| |
0.410037 |
|
|
|
|
|
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.
|