|
|
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 |
| |
0.770013 |
| |
0.769961 |
| |
0.769936 |
| |
0.769912 |
| |
0.769891 |
| |
0.769878 |
| |
0.769845 |
| |
0.769830 |
| |
0.769810 |
| |
0.769810 |
| |
0.769807 |
| |
0.769785 |
| |
0.769779 |
| |
0.769758 |
| |
0.769724 |
| |
0.769719 |
| |
0.769677 |
| |
0.769654 |
| |
0.769623 |
| |
0.769608 |
| |
0.769596 |
| |
0.769423 |
| |
0.769396 |
| |
0.769383 |
| |
0.769382 |
|
|
|
|
|
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.
|