|
|
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 |
| |
0.480716 |
| |
0.480684 |
| |
0.480512 |
| |
0.480475 |
| |
0.480370 |
| |
0.480158 |
| |
0.480088 |
| |
0.479882 |
| |
0.479521 |
| |
0.479467 |
| |
0.479459 |
| |
0.479348 |
| |
0.479236 |
| |
0.478939 |
| |
0.478001 |
| |
0.478001 |
| |
0.477707 |
| |
0.477702 |
| |
0.477689 |
| |
0.477634 |
| |
0.477576 |
| |
0.477500 |
| |
0.477323 |
| |
0.477323 |
| |
0.476996 |
|
|
|
|
|
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.
|