|
|
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 |
| |
0.931318 |
| |
0.931220 |
| |
0.931095 |
| |
0.931095 |
| |
0.931084 |
| |
0.930991 |
| |
0.930940 |
| |
0.930932 |
| |
0.930856 |
| |
0.930770 |
| |
0.930768 |
| |
0.930762 |
| |
0.930572 |
| |
0.930461 |
| |
0.930410 |
| |
0.930383 |
| |
0.930275 |
| |
0.930234 |
| |
0.930131 |
| |
0.930121 |
| |
0.930113 |
| |
0.930068 |
| |
0.929816 |
| |
0.929785 |
| |
0.929785 |
|
|
|
|
|
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.
|