|
|
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 |
| |
-0.705161 |
| |
-0.705252 |
| |
-0.705313 |
| |
-0.705384 |
| |
-0.705420 |
| |
-0.705618 |
| |
-0.705674 |
| |
-0.705863 |
| |
-0.705926 |
| |
-0.706057 |
| |
-0.706147 |
| |
-0.706147 |
| |
-0.706201 |
| |
-0.706215 |
| |
-0.706219 |
| |
-0.706227 |
| |
-0.706244 |
| |
-0.706244 |
| |
-0.706247 |
| |
-0.706262 |
| |
-0.706327 |
| |
-0.706349 |
| |
-0.706380 |
| |
-0.706405 |
| |
-0.706412 |
|
|
|
|
|
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.
|