|
|
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 |
| |
0.788454 |
| |
0.788363 |
| |
0.788235 |
| |
0.787979 |
| |
0.787493 |
| |
0.787328 |
| |
0.786973 |
| |
0.786864 |
| |
0.786716 |
| |
0.786668 |
| |
0.786474 |
| |
0.786446 |
| |
0.786306 |
| |
0.786080 |
| |
0.785880 |
| |
0.785574 |
| |
0.785522 |
| |
0.784956 |
| |
0.784614 |
| |
0.784513 |
| |
0.784417 |
| |
0.784279 |
| |
0.784279 |
| |
0.783068 |
| |
0.782934 |
|
|
|
|
|
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.
|