|
|
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 |
| |
0.529220 |
| |
0.529167 |
| |
0.529148 |
| |
0.529067 |
| |
0.528987 |
| |
0.528967 |
| |
0.528946 |
| |
0.528798 |
| |
0.528775 |
| |
0.528591 |
| |
0.528523 |
| |
0.528456 |
| |
0.528394 |
| |
0.528362 |
| |
0.528227 |
| |
0.528181 |
| |
0.528116 |
| |
0.528015 |
| |
0.527853 |
| |
0.527840 |
| |
0.527823 |
| |
0.527756 |
| |
0.527677 |
| |
0.527607 |
| |
0.527500 |
|
|
|
|
|
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.
|