|
|
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 |
| |
0.861912 |
| |
0.861885 |
| |
0.861868 |
| |
0.861860 |
| |
0.861856 |
| |
0.861803 |
| |
0.861801 |
| |
0.861787 |
| |
0.861781 |
| |
0.861696 |
| |
0.861682 |
| |
0.861673 |
| |
0.861667 |
| |
0.861532 |
| |
0.861432 |
| |
0.861366 |
| |
0.861295 |
| |
0.861162 |
| |
0.861104 |
| |
0.861082 |
| |
0.861071 |
| |
0.860997 |
| |
0.860896 |
| |
0.860637 |
| |
0.860619 |
|
|
|
|
|
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.
|