|
|
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 |
| |
0.735439 |
| |
0.735438 |
| |
0.735425 |
| |
0.735416 |
| |
0.735414 |
| |
0.735404 |
| |
0.735399 |
| |
0.735357 |
| |
0.735301 |
| |
0.735299 |
| |
0.735286 |
| |
0.735201 |
| |
0.735184 |
| |
0.735133 |
| |
0.735117 |
| |
0.735103 |
| |
0.735099 |
| |
0.735086 |
| |
0.735075 |
| |
0.735070 |
| |
0.735063 |
| |
0.735037 |
| |
0.735033 |
| |
0.735009 |
| |
0.735000 |
|
|
|
|
|
 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.
|
