|
|
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 |
| |
0.318870 |
| |
0.318855 |
| |
0.318777 |
| |
0.318777 |
| |
0.318708 |
| |
0.318708 |
| |
0.318689 |
| |
0.318689 |
| |
0.318614 |
| |
0.318613 |
| |
0.318563 |
| |
0.318563 |
| |
0.318545 |
| |
0.318512 |
| |
0.318443 |
| |
0.318442 |
| |
0.318439 |
| |
0.318210 |
| |
0.318205 |
| |
0.318147 |
| |
0.317939 |
| |
0.317893 |
| |
0.317776 |
| |
0.317677 |
| |
0.317636 |
|
|
|
|
|
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.
|