|
|
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 |
| |
0.430740 |
| |
0.430682 |
| |
0.430658 |
| |
0.430390 |
| |
0.430375 |
| |
0.430260 |
| |
0.430219 |
| |
0.430148 |
| |
0.430107 |
| |
0.430055 |
| |
0.429610 |
| |
0.429503 |
| |
0.429449 |
| |
0.429112 |
| |
0.429112 |
| |
0.429092 |
| |
0.428997 |
| |
0.428613 |
| |
0.428491 |
| |
0.428339 |
| |
0.428020 |
| |
0.427958 |
| |
0.427958 |
| |
0.427919 |
| |
0.427840 |
|
|
|
|
|
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.
|