|
|
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 |
| |
0.128198 |
| |
0.128107 |
| |
0.128066 |
| |
0.128031 |
| |
0.127838 |
| |
0.127654 |
| |
0.127563 |
| |
0.127122 |
| |
0.127041 |
| |
0.126986 |
| |
0.126914 |
| |
0.126881 |
| |
0.126871 |
| |
0.126797 |
| |
0.126737 |
| |
0.126664 |
| |
0.126413 |
| |
0.126259 |
| |
0.125984 |
| |
0.125984 |
| |
0.125983 |
| |
0.125981 |
| |
0.125981 |
| |
0.125941 |
| |
0.125824 |
|
|
|
|
|
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.
|