|
|
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 |
| |
0.454746 |
| |
0.454476 |
| |
0.454387 |
| |
0.454344 |
| |
0.454330 |
| |
0.454226 |
| |
0.454087 |
| |
0.453781 |
| |
0.453761 |
| |
0.453723 |
| |
0.453672 |
| |
0.453595 |
| |
0.453497 |
| |
0.453475 |
| |
0.453081 |
| |
0.453022 |
| |
0.452893 |
| |
0.452867 |
| |
0.452866 |
| |
0.452760 |
| |
0.452593 |
| |
0.452571 |
| |
0.452434 |
| |
0.452400 |
| |
0.452372 |
|
|
|
|
|
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.
|