|
|
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 |
| |
0.173887 |
| |
0.173878 |
| |
0.173758 |
| |
0.173670 |
| |
0.173658 |
| |
0.173539 |
| |
0.173518 |
| |
0.173496 |
| |
0.173484 |
| |
0.173386 |
| |
0.173374 |
| |
0.173309 |
| |
0.173221 |
| |
0.173166 |
| |
0.173051 |
| |
0.172935 |
| |
0.172892 |
| |
0.172862 |
| |
0.172845 |
| |
0.172825 |
| |
0.172609 |
| |
0.172584 |
| |
0.172465 |
| |
0.172451 |
| |
0.172241 |
|
|
|
|
|
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.
|