|
|
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 |
| |
-0.818095 |
| |
-0.818105 |
| |
-0.818282 |
| |
-0.818301 |
| |
-0.818308 |
| |
-0.818396 |
| |
-0.818396 |
| |
-0.818547 |
| |
-0.818583 |
| |
-0.818606 |
| |
-0.818651 |
| |
-0.818740 |
| |
-0.818812 |
| |
-0.818812 |
| |
-0.818900 |
| |
-0.819061 |
| |
-0.819061 |
| |
-0.819094 |
| |
-0.819138 |
| |
-0.819138 |
| |
-0.819156 |
| |
-0.819170 |
| |
-0.819184 |
| |
-0.819214 |
| |
-0.819239 |
|
|
|
|
|
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.
|