|
|
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 |
| |
0.563367 |
| |
0.563296 |
| |
0.563268 |
| |
0.563235 |
| |
0.563218 |
| |
0.563206 |
| |
0.563188 |
| |
0.563173 |
| |
0.563142 |
| |
0.563063 |
| |
0.563059 |
| |
0.562970 |
| |
0.562920 |
| |
0.562883 |
| |
0.562882 |
| |
0.562724 |
| |
0.562377 |
| |
0.562253 |
| |
0.561990 |
| |
0.561840 |
| |
0.561814 |
| |
0.561801 |
| |
0.561668 |
| |
0.561658 |
| |
0.561654 |
|
|
|
|
|
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.
|