|
|
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 |
| |
0.370931 |
| |
0.370736 |
| |
0.370703 |
| |
0.370701 |
| |
0.370669 |
| |
0.370627 |
| |
0.370538 |
| |
0.370533 |
| |
0.370485 |
| |
0.370473 |
| |
0.370461 |
| |
0.370449 |
| |
0.370426 |
| |
0.370420 |
| |
0.370420 |
| |
0.370214 |
| |
0.370185 |
| |
0.370103 |
| |
0.370102 |
| |
0.370038 |
| |
0.369952 |
| |
0.369940 |
| |
0.369905 |
| |
0.369859 |
| |
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.
|