|
|
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 |
| |
0.435046 |
| |
0.435043 |
| |
0.434986 |
| |
0.434956 |
| |
0.434937 |
| |
0.434925 |
| |
0.434760 |
| |
0.434740 |
| |
0.434731 |
| |
0.434675 |
| |
0.434671 |
| |
0.434512 |
| |
0.434484 |
| |
0.434461 |
| |
0.434344 |
| |
0.434279 |
| |
0.434249 |
| |
0.434127 |
| |
0.434114 |
| |
0.433944 |
| |
0.433909 |
| |
0.433847 |
| |
0.433834 |
| |
0.433824 |
| |
0.433819 |
|
|
|
|
|
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.
|