|
|
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 |
| |
0.413983 |
| |
0.413972 |
| |
0.413903 |
| |
0.413777 |
| |
0.413764 |
| |
0.413733 |
| |
0.413689 |
| |
0.413687 |
| |
0.413543 |
| |
0.413534 |
| |
0.413500 |
| |
0.413499 |
| |
0.413419 |
| |
0.413387 |
| |
0.413284 |
| |
0.413245 |
| |
0.413196 |
| |
0.413155 |
| |
0.413050 |
| |
0.413041 |
| |
0.413035 |
| |
0.412973 |
| |
0.412942 |
| |
0.412746 |
| |
0.412744 |
|
|
|
|
|
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.
|