|
|
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 |
| |
-0.027818 |
| |
-0.028002 |
| |
-0.028145 |
| |
-0.028275 |
| |
-0.028281 |
| |
-0.028484 |
| |
-0.028712 |
| |
-0.029004 |
| |
-0.029124 |
| |
-0.029150 |
| |
-0.029160 |
| |
-0.029181 |
| |
-0.029284 |
| |
-0.029483 |
| |
-0.029735 |
| |
-0.029799 |
| |
-0.030051 |
| |
-0.030109 |
| |
-0.030234 |
| |
-0.030234 |
| |
-0.030605 |
| |
-0.030753 |
| |
-0.030756 |
| |
-0.030945 |
| |
-0.031175 |
|
|
|
|
|
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.
|