|
|
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 |
| |
0.058112 |
| |
0.058090 |
| |
0.057853 |
| |
0.057728 |
| |
0.057684 |
| |
0.057653 |
| |
0.057645 |
| |
0.057645 |
| |
0.057575 |
| |
0.057471 |
| |
0.057453 |
| |
0.057430 |
| |
0.057353 |
| |
0.057278 |
| |
0.057274 |
| |
0.057189 |
| |
0.057123 |
| |
0.057104 |
| |
0.057064 |
| |
0.056993 |
| |
0.056944 |
| |
0.056845 |
| |
0.056779 |
| |
0.056712 |
| |
0.056709 |
|
|
|
|
|
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.
|