|
|
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 |
| |
0.960035 |
| |
0.959884 |
| |
0.959859 |
| |
0.959827 |
| |
0.959420 |
| |
0.959358 |
| |
0.959070 |
| |
0.958892 |
| |
0.958889 |
| |
0.958752 |
| |
0.958704 |
| |
0.958441 |
| |
0.958342 |
| |
0.958269 |
| |
0.958090 |
| |
0.958089 |
| |
0.957969 |
| |
0.957944 |
| |
0.957916 |
| |
0.957801 |
| |
0.957801 |
| |
0.957797 |
| |
0.957719 |
| |
0.957610 |
| |
0.957541 |
|
|
|
|
|
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.
|