|
|
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 |
| |
0.931704 |
| |
0.931704 |
| |
0.931679 |
| |
0.931602 |
| |
0.931597 |
| |
0.931381 |
| |
0.931142 |
| |
0.931124 |
| |
0.930670 |
| |
0.930621 |
| |
0.930565 |
| |
0.930314 |
| |
0.930287 |
| |
0.930221 |
| |
0.930206 |
| |
0.930167 |
| |
0.929964 |
| |
0.929714 |
| |
0.929668 |
| |
0.929555 |
| |
0.929420 |
| |
0.929318 |
| |
0.928790 |
| |
0.928737 |
| |
0.928515 |
|
|
|
|
|
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.
|