|
|
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 |
| |
0.410243 |
| |
0.410241 |
| |
0.410174 |
| |
0.410166 |
| |
0.410075 |
| |
0.410061 |
| |
0.410017 |
| |
0.410009 |
| |
0.409898 |
| |
0.409890 |
| |
0.409854 |
| |
0.409811 |
| |
0.409808 |
| |
0.409785 |
| |
0.409768 |
| |
0.409680 |
| |
0.409674 |
| |
0.409659 |
| |
0.409581 |
| |
0.409541 |
| |
0.409489 |
| |
0.409412 |
| |
0.409342 |
| |
0.409288 |
| |
0.409127 |
|
|
|
|
|
 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.
|
