|
|
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 |
| |
0.274232 |
| |
0.274201 |
| |
0.274185 |
| |
0.273950 |
| |
0.273940 |
| |
0.273935 |
| |
0.273863 |
| |
0.273860 |
| |
0.273858 |
| |
0.273804 |
| |
0.273765 |
| |
0.273683 |
| |
0.273520 |
| |
0.273462 |
| |
0.273419 |
| |
0.273417 |
| |
0.273332 |
| |
0.273329 |
| |
0.273289 |
| |
0.273216 |
| |
0.273215 |
| |
0.273129 |
| |
0.273100 |
| |
0.273078 |
| |
0.272958 |
|
|
|
|
|
 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.
|
