|
|
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 |
| |
-0.201197 |
| |
-0.201817 |
| |
-0.201909 |
| |
-0.202372 |
| |
-0.202537 |
| |
-0.202537 |
| |
-0.202552 |
| |
-0.202699 |
| |
-0.202948 |
| |
-0.203056 |
| |
-0.203264 |
| |
-0.203613 |
| |
-0.203694 |
| |
-0.203987 |
| |
-0.204072 |
| |
-0.204199 |
| |
-0.204371 |
| |
-0.204764 |
| |
-0.205097 |
| |
-0.205097 |
| |
-0.205107 |
| |
-0.205163 |
| |
-0.205241 |
| |
-0.205280 |
| |
-0.205406 |
|
|
|
|
|
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.
|