|
|
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 |
| |
0.742308 |
| |
0.742058 |
| |
0.741919 |
| |
0.740886 |
| |
0.740747 |
| |
0.740642 |
| |
0.740464 |
| |
0.740166 |
| |
0.740050 |
| |
0.740008 |
| |
0.740008 |
| |
0.739974 |
| |
0.739679 |
| |
0.739401 |
| |
0.738703 |
| |
0.738645 |
| |
0.738398 |
| |
0.738365 |
| |
0.738297 |
| |
0.738206 |
| |
0.738127 |
| |
0.738028 |
| |
0.737502 |
| |
0.737188 |
| |
0.736996 |
|
|
|
|
|
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.
|