|
|
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 |
| |
0.115406 |
| |
0.115101 |
| |
0.114961 |
| |
0.114815 |
| |
0.114741 |
| |
0.114464 |
| |
0.114401 |
| |
0.114392 |
| |
0.114098 |
| |
0.113947 |
| |
0.113632 |
| |
0.113607 |
| |
0.113607 |
| |
0.113340 |
| |
0.113212 |
| |
0.112943 |
| |
0.112749 |
| |
0.112572 |
| |
0.112572 |
| |
0.111321 |
| |
0.111219 |
| |
0.111202 |
| |
0.111094 |
| |
0.111048 |
| |
0.110693 |
|
|
|
|
|
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.
|