|
|
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 |
| |
0.042415 |
| |
0.042345 |
| |
0.042259 |
| |
0.042176 |
| |
0.042110 |
| |
0.041950 |
| |
0.041935 |
| |
0.041897 |
| |
0.041844 |
| |
0.041487 |
| |
0.041443 |
| |
0.041408 |
| |
0.041404 |
| |
0.041374 |
| |
0.041207 |
| |
0.041188 |
| |
0.041159 |
| |
0.041058 |
| |
0.040844 |
| |
0.040456 |
| |
0.040363 |
| |
0.040181 |
| |
0.039924 |
| |
0.039882 |
| |
0.039689 |
|
|
|
|
|
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.
|