|
|
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 |
| |
0.678106 |
| |
0.677994 |
| |
0.677972 |
| |
0.677809 |
| |
0.677629 |
| |
0.677567 |
| |
0.677431 |
| |
0.677322 |
| |
0.676704 |
| |
0.676702 |
| |
0.676559 |
| |
0.676497 |
| |
0.676471 |
| |
0.676111 |
| |
0.676106 |
| |
0.675839 |
| |
0.675807 |
| |
0.675601 |
| |
0.675601 |
| |
0.675600 |
| |
0.675363 |
| |
0.675287 |
| |
0.675287 |
| |
0.675264 |
| |
0.675254 |
|
|
|
|
|
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.
|