|
|
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 |
| |
0.313592 |
| |
0.313590 |
| |
0.313456 |
| |
0.313058 |
| |
0.312978 |
| |
0.312931 |
| |
0.312839 |
| |
0.312811 |
| |
0.312787 |
| |
0.312634 |
| |
0.312546 |
| |
0.312440 |
| |
0.312244 |
| |
0.312137 |
| |
0.311995 |
| |
0.311981 |
| |
0.311946 |
| |
0.311938 |
| |
0.311838 |
| |
0.311747 |
| |
0.311735 |
| |
0.311635 |
| |
0.311613 |
| |
0.311597 |
| |
0.311169 |
|
|
|
|
|
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.
|