|
|
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 |
| |
0.408390 |
| |
0.408365 |
| |
0.408340 |
| |
0.408235 |
| |
0.408048 |
| |
0.407889 |
| |
0.407841 |
| |
0.407798 |
| |
0.407790 |
| |
0.407706 |
| |
0.407660 |
| |
0.407631 |
| |
0.407627 |
| |
0.407626 |
| |
0.407479 |
| |
0.407214 |
| |
0.407211 |
| |
0.407143 |
| |
0.407092 |
| |
0.407046 |
| |
0.407013 |
| |
0.406925 |
| |
0.406915 |
| |
0.406851 |
| |
0.406787 |
|
|
|
|
|
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.
|