|
|
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 |
| |
0.742570 |
| |
0.742570 |
| |
0.742530 |
| |
0.742462 |
| |
0.742404 |
| |
0.742402 |
| |
0.742385 |
| |
0.742374 |
| |
0.742372 |
| |
0.742337 |
| |
0.742295 |
| |
0.742281 |
| |
0.742274 |
| |
0.742266 |
| |
0.742205 |
| |
0.742200 |
| |
0.742183 |
| |
0.742137 |
| |
0.742124 |
| |
0.742112 |
| |
0.741960 |
| |
0.741899 |
| |
0.741877 |
| |
0.741856 |
| |
0.741812 |
|
|
|
|
|
 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.
|
