|
|
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 |
| |
0.255026 |
| |
0.254978 |
| |
0.254836 |
| |
0.254830 |
| |
0.254487 |
| |
0.254131 |
| |
0.254002 |
| |
0.253936 |
| |
0.253709 |
| |
0.253396 |
| |
0.253348 |
| |
0.253327 |
| |
0.253288 |
| |
0.253187 |
| |
0.252982 |
| |
0.252951 |
| |
0.252749 |
| |
0.252583 |
| |
0.252313 |
| |
0.252117 |
| |
0.252105 |
| |
0.252000 |
| |
0.251949 |
| |
0.251948 |
| |
0.251798 |
|
|
|
|
|
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.
|