|
|
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 |
| |
0.028002 |
| |
0.027974 |
| |
0.027973 |
| |
0.027952 |
| |
0.027881 |
| |
0.027834 |
| |
0.027794 |
| |
0.027759 |
| |
0.027731 |
| |
0.027670 |
| |
0.027663 |
| |
0.027656 |
| |
0.027611 |
| |
0.027605 |
| |
0.027532 |
| |
0.027436 |
| |
0.027410 |
| |
0.027384 |
| |
0.027354 |
| |
0.027323 |
| |
0.027313 |
| |
0.027291 |
| |
0.027263 |
| |
0.027233 |
| |
0.027213 |
|
|
|
|
|
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.
|