|
|
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 |
| |
-0.692408 |
| |
-0.692512 |
| |
-0.692608 |
| |
-0.692697 |
| |
-0.692707 |
| |
-0.692707 |
| |
-0.692752 |
| |
-0.692760 |
| |
-0.692786 |
| |
-0.692798 |
| |
-0.692827 |
| |
-0.692827 |
| |
-0.692829 |
| |
-0.693007 |
| |
-0.693007 |
| |
-0.693068 |
| |
-0.693127 |
| |
-0.693163 |
| |
-0.693166 |
| |
-0.693171 |
| |
-0.693255 |
| |
-0.693277 |
| |
-0.693386 |
| |
-0.693386 |
| |
-0.693387 |
|
|
|
|
|
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.
|