|
|
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 |
| |
0.469935 |
| |
0.469844 |
| |
0.469707 |
| |
0.469618 |
| |
0.469614 |
| |
0.469479 |
| |
0.469465 |
| |
0.469192 |
| |
0.469035 |
| |
0.468957 |
| |
0.468941 |
| |
0.468886 |
| |
0.468879 |
| |
0.468849 |
| |
0.468482 |
| |
0.468472 |
| |
0.468453 |
| |
0.468279 |
| |
0.468247 |
| |
0.468093 |
| |
0.467880 |
| |
0.467862 |
| |
0.467857 |
| |
0.467819 |
| |
0.467776 |
|
|
|
|
|
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.
|