|
|
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 |
| |
0.163305 |
| |
0.163240 |
| |
0.163077 |
| |
0.163071 |
| |
0.162864 |
| |
0.162864 |
| |
0.162502 |
| |
0.162499 |
| |
0.162452 |
| |
0.162355 |
| |
0.162265 |
| |
0.162203 |
| |
0.162085 |
| |
0.162037 |
| |
0.162034 |
| |
0.162002 |
| |
0.161990 |
| |
0.161886 |
| |
0.161870 |
| |
0.161838 |
| |
0.161807 |
| |
0.161807 |
| |
0.161647 |
| |
0.161570 |
| |
0.161533 |
|
|
|
|
|
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.
|