|
|
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 |
| |
0.619151 |
| |
0.618319 |
| |
0.618135 |
| |
0.616672 |
| |
0.616252 |
| |
0.616157 |
| |
0.615490 |
| |
0.615195 |
| |
0.614456 |
| |
0.613157 |
| |
0.612921 |
| |
0.612921 |
| |
0.611461 |
| |
0.611394 |
| |
0.610337 |
| |
0.610337 |
| |
0.610258 |
| |
0.609963 |
| |
0.609950 |
| |
0.608720 |
| |
0.608672 |
| |
0.608390 |
| |
0.607854 |
| |
0.606429 |
| |
0.605440 |
|
|
|
|
|
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.
|