|
|
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 |
| |
0.435388 |
| |
0.435285 |
| |
0.435278 |
| |
0.435265 |
| |
0.435213 |
| |
0.435205 |
| |
0.435202 |
| |
0.435198 |
| |
0.435161 |
| |
0.435146 |
| |
0.435075 |
| |
0.435069 |
| |
0.434992 |
| |
0.434898 |
| |
0.434871 |
| |
0.434871 |
| |
0.434804 |
| |
0.434731 |
| |
0.434720 |
| |
0.434700 |
| |
0.434680 |
| |
0.434657 |
| |
0.434640 |
| |
0.434532 |
| |
0.434526 |
|
|
|
|
|
 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.
|
