|
|
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 |
| |
0.021851 |
| |
0.021721 |
| |
0.021701 |
| |
0.021694 |
| |
0.021667 |
| |
0.021551 |
| |
0.021519 |
| |
0.021517 |
| |
0.021384 |
| |
0.021321 |
| |
0.021102 |
| |
0.021085 |
| |
0.021008 |
| |
0.020927 |
| |
0.020907 |
| |
0.020828 |
| |
0.020821 |
| |
0.020754 |
| |
0.020713 |
| |
0.020692 |
| |
0.020444 |
| |
0.020413 |
| |
0.020195 |
| |
0.020158 |
| |
0.020150 |
|
|
|
|
|
 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.
|
