|
|
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 |
| |
0.060635 |
| |
0.060602 |
| |
0.060589 |
| |
0.060511 |
| |
0.060477 |
| |
0.060427 |
| |
0.060341 |
| |
0.060293 |
| |
0.060291 |
| |
0.060280 |
| |
0.060253 |
| |
0.060212 |
| |
0.060124 |
| |
0.060049 |
| |
0.059941 |
| |
0.059861 |
| |
0.059800 |
| |
0.059683 |
| |
0.059678 |
| |
0.059644 |
| |
0.059510 |
| |
0.059486 |
| |
0.059410 |
| |
0.059370 |
| |
0.059365 |
|
|
|
|
|
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.
|