|
|
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 |
| |
0.081026 |
| |
0.081013 |
| |
0.081001 |
| |
0.080995 |
| |
0.080800 |
| |
0.080780 |
| |
0.080710 |
| |
0.080629 |
| |
0.080437 |
| |
0.080245 |
| |
0.080159 |
| |
0.080069 |
| |
0.079978 |
| |
0.079939 |
| |
0.079889 |
| |
0.079806 |
| |
0.079727 |
| |
0.079518 |
| |
0.079297 |
| |
0.079209 |
| |
0.079193 |
| |
0.079116 |
| |
0.079018 |
| |
0.078935 |
| |
0.078906 |
|
|
|
|
|
 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.
|
