|
|
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 |
| |
0.333836 |
| |
0.333826 |
| |
0.333811 |
| |
0.333676 |
| |
0.333661 |
| |
0.333660 |
| |
0.333546 |
| |
0.333518 |
| |
0.333492 |
| |
0.333458 |
| |
0.333411 |
| |
0.333338 |
| |
0.333287 |
| |
0.333238 |
| |
0.333238 |
| |
0.333208 |
| |
0.333161 |
| |
0.333161 |
| |
0.333152 |
| |
0.333135 |
| |
0.333075 |
| |
0.333065 |
| |
0.332964 |
| |
0.332950 |
| |
0.332950 |
|
|
|
|
|
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.
|