|
|
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 |
| |
0.922530 |
| |
0.922121 |
| |
0.920607 |
| |
0.920367 |
| |
0.920094 |
| |
0.919781 |
| |
0.919402 |
| |
0.919223 |
| |
0.919001 |
| |
0.918993 |
| |
0.918743 |
| |
0.918437 |
| |
0.918382 |
| |
0.918120 |
| |
0.917565 |
| |
0.917334 |
| |
0.917308 |
| |
0.917051 |
| |
0.916923 |
| |
0.916633 |
| |
0.916613 |
| |
0.916062 |
| |
0.916045 |
| |
0.915974 |
| |
0.915907 |
|
|
|
|
|
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.
|