|
|
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 |
| |
0.746941 |
| |
0.746802 |
| |
0.746619 |
| |
0.746614 |
| |
0.746215 |
| |
0.745908 |
| |
0.745800 |
| |
0.745724 |
| |
0.745564 |
| |
0.745550 |
| |
0.745546 |
| |
0.745452 |
| |
0.745409 |
| |
0.745387 |
| |
0.745223 |
| |
0.745192 |
| |
0.745102 |
| |
0.745062 |
| |
0.744966 |
| |
0.744675 |
| |
0.744283 |
| |
0.744266 |
| |
0.744226 |
| |
0.744079 |
| |
0.743822 |
|
|
|
|
|
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.
|