|
|
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 |
| |
0.025755 |
| |
0.025680 |
| |
0.025655 |
| |
0.025655 |
| |
0.025617 |
| |
0.025617 |
| |
0.025540 |
| |
0.025539 |
| |
0.025517 |
| |
0.025503 |
| |
0.025495 |
| |
0.025356 |
| |
0.025330 |
| |
0.025221 |
| |
0.025221 |
| |
0.025210 |
| |
0.025081 |
| |
0.025036 |
| |
0.024882 |
| |
0.024876 |
| |
0.024653 |
| |
0.024602 |
| |
0.024602 |
| |
0.024464 |
| |
0.024412 |
|
|
|
|
|
 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.
|
