|
|
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 |
| |
-0.116298 |
| |
-0.116430 |
| |
-0.116493 |
| |
-0.116876 |
| |
-0.116876 |
| |
-0.117021 |
| |
-0.117067 |
| |
-0.117368 |
| |
-0.117542 |
| |
-0.117663 |
| |
-0.117698 |
| |
-0.117698 |
| |
-0.118121 |
| |
-0.118136 |
| |
-0.118201 |
| |
-0.118339 |
| |
-0.118368 |
| |
-0.118391 |
| |
-0.118391 |
| |
-0.118449 |
| |
-0.118604 |
| |
-0.118622 |
| |
-0.118688 |
| |
-0.118859 |
| |
-0.119041 |
|
|
|
|
|
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.
|