|
|
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 |
| |
0.251373 |
| |
0.251330 |
| |
0.251308 |
| |
0.251122 |
| |
0.251103 |
| |
0.251080 |
| |
0.251051 |
| |
0.250974 |
| |
0.250774 |
| |
0.250619 |
| |
0.250616 |
| |
0.250615 |
| |
0.250567 |
| |
0.250472 |
| |
0.250448 |
| |
0.250412 |
| |
0.250210 |
| |
0.250179 |
| |
0.250166 |
| |
0.250097 |
| |
0.250091 |
| |
0.250081 |
| |
0.249979 |
| |
0.249973 |
| |
0.249866 |
|
|
|
|
|
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.
|