|
|
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 |
| |
0.325089 |
| |
0.325045 |
| |
0.325043 |
| |
0.324994 |
| |
0.324890 |
| |
0.324864 |
| |
0.324834 |
| |
0.324829 |
| |
0.324828 |
| |
0.324771 |
| |
0.324758 |
| |
0.324747 |
| |
0.324731 |
| |
0.324719 |
| |
0.324695 |
| |
0.324670 |
| |
0.324666 |
| |
0.324644 |
| |
0.324637 |
| |
0.324562 |
| |
0.324562 |
| |
0.324557 |
| |
0.324549 |
| |
0.324498 |
| |
0.324394 |
|
|
|
|
|
 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.
|
