|
|
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 |
| |
0.381906 |
| |
0.381878 |
| |
0.381863 |
| |
0.381830 |
| |
0.381789 |
| |
0.381768 |
| |
0.381715 |
| |
0.381702 |
| |
0.381695 |
| |
0.381688 |
| |
0.381665 |
| |
0.381648 |
| |
0.381556 |
| |
0.381528 |
| |
0.381520 |
| |
0.381517 |
| |
0.381508 |
| |
0.381430 |
| |
0.381419 |
| |
0.381379 |
| |
0.381347 |
| |
0.381310 |
| |
0.381184 |
| |
0.381169 |
| |
0.381149 |
|
|
|
|
|
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.
|