|
|
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 |
| |
-0.385665 |
| |
-0.385677 |
| |
-0.385704 |
| |
-0.385787 |
| |
-0.385886 |
| |
-0.386066 |
| |
-0.386287 |
| |
-0.386537 |
| |
-0.386625 |
| |
-0.386633 |
| |
-0.386678 |
| |
-0.386724 |
| |
-0.386762 |
| |
-0.386842 |
| |
-0.386916 |
| |
-0.386946 |
| |
-0.387036 |
| |
-0.387096 |
| |
-0.387149 |
| |
-0.387192 |
| |
-0.387294 |
| |
-0.387372 |
| |
-0.387382 |
| |
-0.387471 |
| |
-0.387547 |
|
|
|
|
|
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.
|