|
|
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 |
| |
0.723063 |
| |
0.723030 |
| |
0.723002 |
| |
0.722978 |
| |
0.722976 |
| |
0.722932 |
| |
0.722926 |
| |
0.722905 |
| |
0.722894 |
| |
0.722880 |
| |
0.722877 |
| |
0.722784 |
| |
0.722711 |
| |
0.722711 |
| |
0.722626 |
| |
0.722607 |
| |
0.722555 |
| |
0.722460 |
| |
0.722452 |
| |
0.722409 |
| |
0.722362 |
| |
0.722336 |
| |
0.722316 |
| |
0.722303 |
| |
0.722275 |
|
|
|
|
|
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.
|