|
|
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 |
| |
0.426345 |
| |
0.426249 |
| |
0.426246 |
| |
0.426212 |
| |
0.426192 |
| |
0.426175 |
| |
0.426120 |
| |
0.426114 |
| |
0.426091 |
| |
0.426088 |
| |
0.426033 |
| |
0.426033 |
| |
0.426021 |
| |
0.425960 |
| |
0.425960 |
| |
0.425938 |
| |
0.425881 |
| |
0.425881 |
| |
0.425880 |
| |
0.425825 |
| |
0.425823 |
| |
0.425807 |
| |
0.425736 |
| |
0.425736 |
| |
0.425729 |
|
|
|
|
|
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.
|