|
|
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 |
| |
0.440485 |
| |
0.440479 |
| |
0.440459 |
| |
0.440446 |
| |
0.440437 |
| |
0.440434 |
| |
0.440420 |
| |
0.440396 |
| |
0.440388 |
| |
0.440370 |
| |
0.440318 |
| |
0.440247 |
| |
0.440241 |
| |
0.440216 |
| |
0.440174 |
| |
0.440150 |
| |
0.440058 |
| |
0.440056 |
| |
0.440002 |
| |
0.439995 |
| |
0.439976 |
| |
0.439959 |
| |
0.439931 |
| |
0.439847 |
| |
0.439794 |
|
|
|
|
|
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.
|