|
|
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 |
| |
0.024393 |
| |
0.024380 |
| |
0.024356 |
| |
0.024188 |
| |
0.024185 |
| |
0.024172 |
| |
0.024119 |
| |
0.024082 |
| |
0.023961 |
| |
0.023957 |
| |
0.023941 |
| |
0.023911 |
| |
0.023840 |
| |
0.023549 |
| |
0.023507 |
| |
0.023463 |
| |
0.023246 |
| |
0.023158 |
| |
0.023054 |
| |
0.022932 |
| |
0.022928 |
| |
0.022835 |
| |
0.022776 |
| |
0.022725 |
| |
0.022609 |
|
|
|
|
|
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.
|