|
|
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 |
| |
0.425668 |
| |
0.425556 |
| |
0.425474 |
| |
0.425427 |
| |
0.425278 |
| |
0.425004 |
| |
0.425003 |
| |
0.424978 |
| |
0.424858 |
| |
0.424845 |
| |
0.424838 |
| |
0.424783 |
| |
0.424780 |
| |
0.424760 |
| |
0.424726 |
| |
0.424475 |
| |
0.424174 |
| |
0.424117 |
| |
0.423942 |
| |
0.423908 |
| |
0.423896 |
| |
0.423876 |
| |
0.423874 |
| |
0.423816 |
| |
0.423797 |
|
|
|
|
|
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.
|