|
|
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 |
| |
0.386694 |
| |
0.386649 |
| |
0.386544 |
| |
0.386502 |
| |
0.386400 |
| |
0.386381 |
| |
0.386329 |
| |
0.386328 |
| |
0.386231 |
| |
0.386194 |
| |
0.386173 |
| |
0.386168 |
| |
0.386112 |
| |
0.386082 |
| |
0.386033 |
| |
0.386003 |
| |
0.385986 |
| |
0.385983 |
| |
0.385983 |
| |
0.385798 |
| |
0.385778 |
| |
0.385770 |
| |
0.385728 |
| |
0.385719 |
| |
0.385703 |
|
|
|
|
|
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.
|