|
|
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 |
| |
0.031635 |
| |
0.031529 |
| |
0.031486 |
| |
0.031468 |
| |
0.031303 |
| |
0.031245 |
| |
0.031237 |
| |
0.031138 |
| |
0.031070 |
| |
0.031005 |
| |
0.030946 |
| |
0.030906 |
| |
0.030793 |
| |
0.030762 |
| |
0.030518 |
| |
0.030307 |
| |
0.030297 |
| |
0.030249 |
| |
0.030224 |
| |
0.030087 |
| |
0.029990 |
| |
0.029715 |
| |
0.029498 |
| |
0.029487 |
| |
0.029476 |
|
|
|
|
|
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.
|