|
|
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 |
| |
0.022581 |
| |
0.022555 |
| |
0.022426 |
| |
0.022366 |
| |
0.022325 |
| |
0.022306 |
| |
0.022278 |
| |
0.022002 |
| |
0.021967 |
| |
0.021894 |
| |
0.021738 |
| |
0.021718 |
| |
0.021718 |
| |
0.021705 |
| |
0.021598 |
| |
0.021532 |
| |
0.021491 |
| |
0.021454 |
| |
0.021442 |
| |
0.021362 |
| |
0.021362 |
| |
0.021358 |
| |
0.021269 |
| |
0.021234 |
| |
0.021187 |
|
|
|
|
|
 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.
|
