|
|
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 |
| |
0.768733 |
| |
0.768676 |
| |
0.768452 |
| |
0.768338 |
| |
0.768300 |
| |
0.767889 |
| |
0.767591 |
| |
0.766642 |
| |
0.766119 |
| |
0.766038 |
| |
0.765650 |
| |
0.765483 |
| |
0.764505 |
| |
0.764291 |
| |
0.764108 |
| |
0.764108 |
| |
0.763971 |
| |
0.763538 |
| |
0.763253 |
| |
0.763237 |
| |
0.763169 |
| |
0.762418 |
| |
0.762221 |
| |
0.761374 |
| |
0.760057 |
|
|
|
|
|
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.
|