|
|
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 |
| |
0.931449 |
| |
0.931351 |
| |
0.931183 |
| |
0.931048 |
| |
0.931003 |
| |
0.930937 |
| |
0.930874 |
| |
0.930873 |
| |
0.930782 |
| |
0.930770 |
| |
0.930708 |
| |
0.930649 |
| |
0.930619 |
| |
0.930616 |
| |
0.930611 |
| |
0.930611 |
| |
0.930536 |
| |
0.930493 |
| |
0.930478 |
| |
0.930443 |
| |
0.930434 |
| |
0.930413 |
| |
0.930292 |
| |
0.930261 |
| |
0.930208 |
|
|
|
|
|
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.
|