|
|
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 |
| |
0.585719 |
| |
0.585681 |
| |
0.585602 |
| |
0.585602 |
| |
0.585453 |
| |
0.585453 |
| |
0.585440 |
| |
0.585416 |
| |
0.585379 |
| |
0.585368 |
| |
0.585309 |
| |
0.585290 |
| |
0.585262 |
| |
0.585225 |
| |
0.585196 |
| |
0.585013 |
| |
0.584961 |
| |
0.584912 |
| |
0.584837 |
| |
0.584698 |
| |
0.584679 |
| |
0.584644 |
| |
0.584637 |
| |
0.584596 |
| |
0.584585 |
|
|
|
|
|
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.
|