|
|
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 |
| |
0.233259 |
| |
0.233217 |
| |
0.233209 |
| |
0.233139 |
| |
0.233064 |
| |
0.233044 |
| |
0.233005 |
| |
0.233000 |
| |
0.232904 |
| |
0.232865 |
| |
0.232841 |
| |
0.232809 |
| |
0.232664 |
| |
0.232609 |
| |
0.232474 |
| |
0.232471 |
| |
0.232381 |
| |
0.232377 |
| |
0.232214 |
| |
0.232195 |
| |
0.232190 |
| |
0.232125 |
| |
0.232124 |
| |
0.232027 |
| |
0.232006 |
|
|
|
|
|
 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.
|
