|
|
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 |
| |
0.477095 |
| |
0.477051 |
| |
0.477045 |
| |
0.477025 |
| |
0.477019 |
| |
0.477017 |
| |
0.476993 |
| |
0.476966 |
| |
0.476946 |
| |
0.476925 |
| |
0.476856 |
| |
0.476847 |
| |
0.476817 |
| |
0.476773 |
| |
0.476751 |
| |
0.476750 |
| |
0.476609 |
| |
0.476538 |
| |
0.476531 |
| |
0.476512 |
| |
0.476505 |
| |
0.476498 |
| |
0.476485 |
| |
0.476425 |
| |
0.476410 |
|
|
|
|
|
 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.
|
