|
|
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 |
| |
0.579744 |
| |
0.579703 |
| |
0.579694 |
| |
0.579518 |
| |
0.579450 |
| |
0.579222 |
| |
0.579177 |
| |
0.579165 |
| |
0.578986 |
| |
0.578833 |
| |
0.578771 |
| |
0.578707 |
| |
0.578681 |
| |
0.578537 |
| |
0.578470 |
| |
0.578402 |
| |
0.578218 |
| |
0.578213 |
| |
0.578192 |
| |
0.577472 |
| |
0.577430 |
| |
0.577309 |
| |
0.577197 |
| |
0.577001 |
| |
0.576786 |
|
|
|
|
|
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.
|