|
|
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 |
| |
0.031640 |
| |
0.031572 |
| |
0.031540 |
| |
0.031375 |
| |
0.031319 |
| |
0.031290 |
| |
0.031275 |
| |
0.031275 |
| |
0.031273 |
| |
0.031154 |
| |
0.031108 |
| |
0.031028 |
| |
0.030984 |
| |
0.030945 |
| |
0.030903 |
| |
0.030902 |
| |
0.030881 |
| |
0.030842 |
| |
0.030831 |
| |
0.030829 |
| |
0.030704 |
| |
0.030700 |
| |
0.030698 |
| |
0.030678 |
| |
0.030678 |
|
|
|
|
|
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.
|