|
|
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 |
| |
-0.543578 |
| |
-0.543587 |
| |
-0.543982 |
| |
-0.544034 |
| |
-0.544053 |
| |
-0.544640 |
| |
-0.544750 |
| |
-0.544901 |
| |
-0.544959 |
| |
-0.545035 |
| |
-0.545084 |
| |
-0.545198 |
| |
-0.545380 |
| |
-0.545380 |
| |
-0.545381 |
| |
-0.545513 |
| |
-0.545525 |
| |
-0.545603 |
| |
-0.545603 |
| |
-0.545672 |
| |
-0.545772 |
| |
-0.545772 |
| |
-0.545874 |
| |
-0.545901 |
| |
-0.546311 |
|
|
|
|
|
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.
|