|
|
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 |
| |
0.030981 |
| |
0.030614 |
| |
0.030604 |
| |
0.030576 |
| |
0.030536 |
| |
0.030374 |
| |
0.030161 |
| |
0.030046 |
| |
0.030001 |
| |
0.029823 |
| |
0.029457 |
| |
0.029239 |
| |
0.029199 |
| |
0.029167 |
| |
0.028875 |
| |
0.028822 |
| |
0.028296 |
| |
0.027909 |
| |
0.027894 |
| |
0.027798 |
| |
0.027500 |
| |
0.027373 |
| |
0.027373 |
| |
0.027361 |
| |
0.027360 |
|
|
|
|
|
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.
|