|
|
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 |
| |
0.162954 |
| |
0.162954 |
| |
0.162778 |
| |
0.162676 |
| |
0.162569 |
| |
0.162491 |
| |
0.162479 |
| |
0.162362 |
| |
0.162322 |
| |
0.162257 |
| |
0.162201 |
| |
0.162142 |
| |
0.162109 |
| |
0.162032 |
| |
0.162005 |
| |
0.161898 |
| |
0.161834 |
| |
0.161786 |
| |
0.161613 |
| |
0.161595 |
| |
0.161441 |
| |
0.161427 |
| |
0.161416 |
| |
0.161406 |
| |
0.161381 |
|
|
|
|
|
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.
|