|
|
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 |
| |
0.098178 |
| |
0.098156 |
| |
0.098131 |
| |
0.097983 |
| |
0.097976 |
| |
0.097921 |
| |
0.097897 |
| |
0.097883 |
| |
0.097678 |
| |
0.097538 |
| |
0.096836 |
| |
0.096836 |
| |
0.096796 |
| |
0.096582 |
| |
0.096416 |
| |
0.096404 |
| |
0.096397 |
| |
0.096294 |
| |
0.096214 |
| |
0.096164 |
| |
0.096164 |
| |
0.095959 |
| |
0.095885 |
| |
0.095869 |
| |
0.095869 |
|
|
|
|
|
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.
|