|
|
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 |
| |
0.756771 |
| |
0.756565 |
| |
0.756024 |
| |
0.755993 |
| |
0.755819 |
| |
0.755492 |
| |
0.755425 |
| |
0.755352 |
| |
0.754965 |
| |
0.754941 |
| |
0.754813 |
| |
0.754546 |
| |
0.753876 |
| |
0.753865 |
| |
0.753823 |
| |
0.753783 |
| |
0.753769 |
| |
0.753614 |
| |
0.753464 |
| |
0.753311 |
| |
0.753098 |
| |
0.752726 |
| |
0.752704 |
| |
0.752423 |
| |
0.752415 |
|
|
|
|
|
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.
|