|
|
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 |
| |
0.405746 |
| |
0.405673 |
| |
0.405635 |
| |
0.405607 |
| |
0.405596 |
| |
0.405581 |
| |
0.405581 |
| |
0.405572 |
| |
0.405562 |
| |
0.405526 |
| |
0.405515 |
| |
0.405452 |
| |
0.405414 |
| |
0.405350 |
| |
0.405343 |
| |
0.405342 |
| |
0.405320 |
| |
0.405296 |
| |
0.405205 |
| |
0.405120 |
| |
0.405120 |
| |
0.405059 |
| |
0.405009 |
| |
0.404989 |
| |
0.404905 |
|
|
|
|
|
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.
|