|
|
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 |
| |
0.800924 |
| |
0.800901 |
| |
0.800895 |
| |
0.800891 |
| |
0.800872 |
| |
0.800774 |
| |
0.800683 |
| |
0.800670 |
| |
0.800667 |
| |
0.800642 |
| |
0.800472 |
| |
0.800438 |
| |
0.800418 |
| |
0.800405 |
| |
0.800391 |
| |
0.800366 |
| |
0.800361 |
| |
0.800341 |
| |
0.800298 |
| |
0.800285 |
| |
0.800243 |
| |
0.800184 |
| |
0.800060 |
| |
0.800044 |
| |
0.799933 |
|
|
|
|
|
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.
|