|
|
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 |
| |
0.299802 |
| |
0.299779 |
| |
0.299751 |
| |
0.299740 |
| |
0.299740 |
| |
0.299647 |
| |
0.299600 |
| |
0.299583 |
| |
0.299561 |
| |
0.299514 |
| |
0.299415 |
| |
0.299211 |
| |
0.298922 |
| |
0.298800 |
| |
0.298728 |
| |
0.298642 |
| |
0.298642 |
| |
0.298640 |
| |
0.298599 |
| |
0.298566 |
| |
0.298555 |
| |
0.298489 |
| |
0.298217 |
| |
0.298217 |
| |
0.298123 |
|
|
|
|
|
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.
|