|
|
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 |
| |
-0.426694 |
| |
-0.426729 |
| |
-0.426811 |
| |
-0.426878 |
| |
-0.427075 |
| |
-0.427110 |
| |
-0.427150 |
| |
-0.427244 |
| |
-0.427364 |
| |
-0.427402 |
| |
-0.427485 |
| |
-0.427485 |
| |
-0.427516 |
| |
-0.427573 |
| |
-0.427573 |
| |
-0.427573 |
| |
-0.427637 |
| |
-0.427751 |
| |
-0.427903 |
| |
-0.428009 |
| |
-0.428083 |
| |
-0.428119 |
| |
-0.428129 |
| |
-0.428194 |
| |
-0.428202 |
|
|
|
|
|
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.
|