|
|
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 |
| |
-0.372113 |
| |
-0.372199 |
| |
-0.372280 |
| |
-0.372932 |
| |
-0.372994 |
| |
-0.373069 |
| |
-0.373373 |
| |
-0.373896 |
| |
-0.374115 |
| |
-0.374150 |
| |
-0.374334 |
| |
-0.374696 |
| |
-0.374925 |
| |
-0.375259 |
| |
-0.375419 |
| |
-0.376159 |
| |
-0.376211 |
| |
-0.376258 |
| |
-0.376319 |
| |
-0.376376 |
| |
-0.376472 |
| |
-0.376645 |
| |
-0.376718 |
| |
-0.376888 |
| |
-0.377096 |
|
|
|
|
|
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.
|