|
|
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 |
| |
0.361639 |
| |
0.361598 |
| |
0.361555 |
| |
0.361485 |
| |
0.361435 |
| |
0.361374 |
| |
0.361374 |
| |
0.361230 |
| |
0.361191 |
| |
0.361028 |
| |
0.361023 |
| |
0.360821 |
| |
0.360775 |
| |
0.360512 |
| |
0.360481 |
| |
0.360442 |
| |
0.360359 |
| |
0.360331 |
| |
0.360224 |
| |
0.360224 |
| |
0.360197 |
| |
0.360194 |
| |
0.360089 |
| |
0.360033 |
| |
0.359964 |
|
|
|
|
|
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.
|