|
|
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 |
| |
0.008138 |
| |
0.008061 |
| |
0.007948 |
| |
0.007598 |
| |
0.007522 |
| |
0.007474 |
| |
0.007287 |
| |
0.007251 |
| |
0.007003 |
| |
0.006980 |
| |
0.006973 |
| |
0.006960 |
| |
0.006800 |
| |
0.006800 |
| |
0.006780 |
| |
0.006757 |
| |
0.006715 |
| |
0.006599 |
| |
0.006436 |
| |
0.006371 |
| |
0.006192 |
| |
0.006084 |
| |
0.006067 |
| |
0.006053 |
| |
0.006042 |
|
|
|
|
|
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.
|