|
|
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 |
| |
0.743753 |
| |
0.743700 |
| |
0.743676 |
| |
0.743635 |
| |
0.743602 |
| |
0.743551 |
| |
0.743407 |
| |
0.743241 |
| |
0.743228 |
| |
0.743221 |
| |
0.743216 |
| |
0.743153 |
| |
0.743128 |
| |
0.743120 |
| |
0.743072 |
| |
0.743023 |
| |
0.742853 |
| |
0.742795 |
| |
0.742728 |
| |
0.742443 |
| |
0.742332 |
| |
0.742243 |
| |
0.742213 |
| |
0.742092 |
| |
0.742089 |
|
|
|
|
|
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.
|