|
|
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 |
| |
0.221044 |
| |
0.221036 |
| |
0.220995 |
| |
0.220987 |
| |
0.220939 |
| |
0.220927 |
| |
0.220901 |
| |
0.220875 |
| |
0.220838 |
| |
0.220833 |
| |
0.220761 |
| |
0.220689 |
| |
0.220689 |
| |
0.220637 |
| |
0.220548 |
| |
0.220440 |
| |
0.220389 |
| |
0.220343 |
| |
0.220282 |
| |
0.219993 |
| |
0.219977 |
| |
0.219923 |
| |
0.219900 |
| |
0.219892 |
| |
0.219858 |
|
|
|
|
|
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.
|