|
|
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 |
| |
-0.279830 |
| |
-0.279859 |
| |
-0.279911 |
| |
-0.279943 |
| |
-0.280086 |
| |
-0.280151 |
| |
-0.280190 |
| |
-0.280191 |
| |
-0.280191 |
| |
-0.280221 |
| |
-0.280223 |
| |
-0.280229 |
| |
-0.280238 |
| |
-0.280303 |
| |
-0.280373 |
| |
-0.280402 |
| |
-0.280428 |
| |
-0.280439 |
| |
-0.280463 |
| |
-0.280530 |
| |
-0.280568 |
| |
-0.280578 |
| |
-0.280578 |
| |
-0.280639 |
| |
-0.280650 |
|
|
|
|
|
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.
|