|
|
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 |
|
0.883168 |
|
0.883160 |
|
0.883148 |
|
0.883131 |
|
0.883074 |
|
0.883066 |
|
0.883052 |
|
0.882961 |
|
0.882936 |
|
0.882911 |
|
0.882835 |
|
0.882758 |
|
0.882741 |
|
0.882717 |
|
0.882700 |
|
0.882675 |
|
0.882658 |
|
0.882657 |
|
0.882630 |
|
0.882630 |
|
0.882627 |
|
0.882559 |
|
0.882535 |
|
0.882532 |
|
0.882518 |
|
|
|
|
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.
|