|
|
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 |
| |
0.097723 |
| |
0.097551 |
| |
0.097505 |
| |
0.097414 |
| |
0.097330 |
| |
0.097233 |
| |
0.097166 |
| |
0.097110 |
| |
0.097040 |
| |
0.096975 |
| |
0.096923 |
| |
0.096878 |
| |
0.096873 |
| |
0.096623 |
| |
0.096369 |
| |
0.096361 |
| |
0.096266 |
| |
0.096260 |
| |
0.095775 |
| |
0.095762 |
| |
0.095560 |
| |
0.095492 |
| |
0.095227 |
| |
0.095218 |
| |
0.095189 |
|
|
|
|
|
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.
|