|
|
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 |
| |
-0.207460 |
| |
-0.207464 |
| |
-0.207511 |
| |
-0.207563 |
| |
-0.207772 |
| |
-0.207777 |
| |
-0.207889 |
| |
-0.207986 |
| |
-0.208079 |
| |
-0.208080 |
| |
-0.208167 |
| |
-0.208170 |
| |
-0.208251 |
| |
-0.208257 |
| |
-0.208261 |
| |
-0.208278 |
| |
-0.208365 |
| |
-0.208373 |
| |
-0.208373 |
| |
-0.208500 |
| |
-0.208844 |
| |
-0.209024 |
| |
-0.209067 |
| |
-0.209083 |
| |
-0.209138 |
|
|
|
|
|
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.
|