|
|
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 |
| |
0.434050 |
| |
0.434024 |
| |
0.434024 |
| |
0.433997 |
| |
0.433988 |
| |
0.433947 |
| |
0.433843 |
| |
0.433837 |
| |
0.433681 |
| |
0.433604 |
| |
0.433576 |
| |
0.433543 |
| |
0.433370 |
| |
0.433282 |
| |
0.433282 |
| |
0.433274 |
| |
0.433271 |
| |
0.433269 |
| |
0.433259 |
| |
0.433204 |
| |
0.433187 |
| |
0.433173 |
| |
0.433012 |
| |
0.432974 |
| |
0.432971 |
|
|
|
|
|
 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.
|
