|
|
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 |
| |
0.218913 |
| |
0.218907 |
| |
0.218905 |
| |
0.218816 |
| |
0.218769 |
| |
0.218757 |
| |
0.218682 |
| |
0.218634 |
| |
0.218620 |
| |
0.218576 |
| |
0.218558 |
| |
0.218541 |
| |
0.218450 |
| |
0.218431 |
| |
0.218339 |
| |
0.218334 |
| |
0.218297 |
| |
0.218012 |
| |
0.217976 |
| |
0.217916 |
| |
0.217887 |
| |
0.217814 |
| |
0.217778 |
| |
0.217769 |
| |
0.217724 |
|
|
|
|
|
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.
|