|
|
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 |
| |
-0.663320 |
| |
-0.663328 |
| |
-0.663424 |
| |
-0.663504 |
| |
-0.663546 |
| |
-0.663562 |
| |
-0.663607 |
| |
-0.663701 |
| |
-0.663712 |
| |
-0.663750 |
| |
-0.663760 |
| |
-0.663763 |
| |
-0.663778 |
| |
-0.663814 |
| |
-0.663883 |
| |
-0.663961 |
| |
-0.664027 |
| |
-0.664251 |
| |
-0.664297 |
| |
-0.664359 |
| |
-0.664445 |
| |
-0.664450 |
| |
-0.664450 |
| |
-0.664477 |
| |
-0.664480 |
|
|
|
|
|
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.
|