|
|
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 |
| |
-0.721199 |
| |
-0.721212 |
| |
-0.721245 |
| |
-0.721269 |
| |
-0.721411 |
| |
-0.721448 |
| |
-0.721546 |
| |
-0.721622 |
| |
-0.721753 |
| |
-0.721761 |
| |
-0.721844 |
| |
-0.721925 |
| |
-0.721992 |
| |
-0.721992 |
| |
-0.722044 |
| |
-0.722155 |
| |
-0.722251 |
| |
-0.722369 |
| |
-0.722379 |
| |
-0.722482 |
| |
-0.722511 |
| |
-0.722539 |
| |
-0.722572 |
| |
-0.722885 |
| |
-0.722918 |
|
|
|
|
|
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.
|