|
|
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 |
| |
0.835991 |
| |
0.835373 |
| |
0.834972 |
| |
0.834924 |
| |
0.834673 |
| |
0.834633 |
| |
0.834374 |
| |
0.833941 |
| |
0.832912 |
| |
0.832514 |
| |
0.831050 |
| |
0.830979 |
| |
0.830382 |
| |
0.830353 |
| |
0.830198 |
| |
0.829869 |
| |
0.829601 |
| |
0.829273 |
| |
0.829124 |
| |
0.828817 |
| |
0.828607 |
| |
0.828554 |
| |
0.828035 |
| |
0.827112 |
| |
0.826030 |
|
|
|
|
|
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.
|