|
|
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 |
| |
0.663855 |
| |
0.663803 |
| |
0.663464 |
| |
0.663345 |
| |
0.663342 |
| |
0.663232 |
| |
0.663110 |
| |
0.662994 |
| |
0.662101 |
| |
0.661327 |
| |
0.661274 |
| |
0.661219 |
| |
0.661163 |
| |
0.661126 |
| |
0.661024 |
| |
0.660951 |
| |
0.660881 |
| |
0.660856 |
| |
0.660802 |
| |
0.660781 |
| |
0.660706 |
| |
0.660691 |
| |
0.660682 |
| |
0.660558 |
| |
0.660319 |
|
|
|
|
|
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.
|