|
|
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 |
| |
0.070354 |
| |
0.070345 |
| |
0.069888 |
| |
0.069888 |
| |
0.069812 |
| |
0.069488 |
| |
0.069062 |
| |
0.068892 |
| |
0.068647 |
| |
0.068296 |
| |
0.067871 |
| |
0.067671 |
| |
0.067520 |
| |
0.067448 |
| |
0.067416 |
| |
0.067141 |
| |
0.067047 |
| |
0.066809 |
| |
0.066809 |
| |
0.066762 |
| |
0.066650 |
| |
0.066600 |
| |
0.066558 |
| |
0.066550 |
| |
0.065983 |
|
|
|
|
|
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.
|