|
|
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 |
| |
0.032325 |
| |
0.032308 |
| |
0.032286 |
| |
0.032282 |
| |
0.032134 |
| |
0.032108 |
| |
0.032069 |
| |
0.031987 |
| |
0.031977 |
| |
0.031816 |
| |
0.031769 |
| |
0.031614 |
| |
0.031614 |
| |
0.031604 |
| |
0.031560 |
| |
0.031443 |
| |
0.031435 |
| |
0.031430 |
| |
0.031399 |
| |
0.031326 |
| |
0.031184 |
| |
0.031013 |
| |
0.030917 |
| |
0.030758 |
| |
0.030757 |
|
|
|
|
|
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.
|