|
|
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 |
| |
-0.547377 |
| |
-0.547377 |
| |
-0.547546 |
| |
-0.547700 |
| |
-0.547822 |
| |
-0.547822 |
| |
-0.548197 |
| |
-0.548295 |
| |
-0.548691 |
| |
-0.548788 |
| |
-0.548865 |
| |
-0.548921 |
| |
-0.549219 |
| |
-0.549389 |
| |
-0.549422 |
| |
-0.549632 |
| |
-0.550364 |
| |
-0.550485 |
| |
-0.550493 |
| |
-0.551186 |
| |
-0.551193 |
| |
-0.551473 |
| |
-0.551513 |
| |
-0.551645 |
| |
-0.552054 |
|
|
|
|
|
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.
|