|
|
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 |
| |
0.371035 |
| |
0.370950 |
| |
0.370915 |
| |
0.370847 |
| |
0.370828 |
| |
0.370775 |
| |
0.370658 |
| |
0.370518 |
| |
0.370478 |
| |
0.370375 |
| |
0.370316 |
| |
0.370295 |
| |
0.370284 |
| |
0.370250 |
| |
0.370220 |
| |
0.370156 |
| |
0.370136 |
| |
0.370104 |
| |
0.370037 |
| |
0.370022 |
| |
0.370018 |
| |
0.369997 |
| |
0.369993 |
| |
0.369917 |
| |
0.369859 |
|
|
|
|
|
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.
|