|
|
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 |
| |
-0.481702 |
| |
-0.481710 |
| |
-0.481732 |
| |
-0.481747 |
| |
-0.481998 |
| |
-0.482443 |
| |
-0.482991 |
| |
-0.483216 |
| |
-0.483701 |
| |
-0.484057 |
| |
-0.484482 |
| |
-0.484615 |
| |
-0.484654 |
| |
-0.484716 |
| |
-0.484725 |
| |
-0.485105 |
| |
-0.485400 |
| |
-0.485735 |
| |
-0.485920 |
| |
-0.486253 |
| |
-0.486335 |
| |
-0.486402 |
| |
-0.486798 |
| |
-0.486959 |
| |
-0.487170 |
|
|
|
|
|
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.
|