|
|
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 |
| |
0.156939 |
| |
0.156886 |
| |
0.156758 |
| |
0.156553 |
| |
0.156533 |
| |
0.156519 |
| |
0.156272 |
| |
0.155881 |
| |
0.155740 |
| |
0.155515 |
| |
0.155514 |
| |
0.155482 |
| |
0.155363 |
| |
0.155047 |
| |
0.154881 |
| |
0.154881 |
| |
0.154848 |
| |
0.154312 |
| |
0.154308 |
| |
0.154248 |
| |
0.154197 |
| |
0.154087 |
| |
0.154064 |
| |
0.153823 |
| |
0.153412 |
|
|
|
|
|
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.
|