|
|
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 |
| |
0.928078 |
| |
0.927947 |
| |
0.927759 |
| |
0.927693 |
| |
0.927606 |
| |
0.927570 |
| |
0.927203 |
| |
0.926905 |
| |
0.926652 |
| |
0.926189 |
| |
0.926157 |
| |
0.926153 |
| |
0.926106 |
| |
0.926100 |
| |
0.926062 |
| |
0.925991 |
| |
0.925868 |
| |
0.925756 |
| |
0.925669 |
| |
0.925668 |
| |
0.925640 |
| |
0.925585 |
| |
0.925572 |
| |
0.925569 |
| |
0.925521 |
|
|
|
|
|
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.
|