|
|
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 |
| |
0.700941 |
| |
0.700875 |
| |
0.700854 |
| |
0.700844 |
| |
0.700806 |
| |
0.700786 |
| |
0.700746 |
| |
0.700740 |
| |
0.700719 |
| |
0.700702 |
| |
0.700671 |
| |
0.700658 |
| |
0.700586 |
| |
0.700572 |
| |
0.700489 |
| |
0.700464 |
| |
0.700454 |
| |
0.700445 |
| |
0.700410 |
| |
0.700410 |
| |
0.700391 |
| |
0.700369 |
| |
0.700364 |
| |
0.700337 |
| |
0.700312 |
|
|
|
|
|
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.
|