|
|
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 |
| |
0.373243 |
| |
0.373180 |
| |
0.373179 |
| |
0.373142 |
| |
0.373074 |
| |
0.373048 |
| |
0.372971 |
| |
0.372912 |
| |
0.372899 |
| |
0.372878 |
| |
0.372803 |
| |
0.372800 |
| |
0.372772 |
| |
0.372716 |
| |
0.372691 |
| |
0.372672 |
| |
0.372641 |
| |
0.372634 |
| |
0.372545 |
| |
0.372543 |
| |
0.372524 |
| |
0.372523 |
| |
0.372521 |
| |
0.372514 |
| |
0.372461 |
|
|
|
|
|
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.
|