|
|
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 |
| |
0.748154 |
| |
0.748050 |
| |
0.748050 |
| |
0.748049 |
| |
0.747995 |
| |
0.747955 |
| |
0.747919 |
| |
0.747904 |
| |
0.747900 |
| |
0.747882 |
| |
0.747713 |
| |
0.747703 |
| |
0.747680 |
| |
0.747599 |
| |
0.747598 |
| |
0.747516 |
| |
0.747496 |
| |
0.747491 |
| |
0.747489 |
| |
0.747442 |
| |
0.747395 |
| |
0.747376 |
| |
0.747349 |
| |
0.747345 |
| |
0.747344 |
|
|
|
|
|
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.
|