|
|
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 |
| |
0.111039 |
| |
0.110990 |
| |
0.110972 |
| |
0.110541 |
| |
0.110395 |
| |
0.110373 |
| |
0.109915 |
| |
0.109903 |
| |
0.109674 |
| |
0.108972 |
| |
0.108943 |
| |
0.108561 |
| |
0.108537 |
| |
0.107865 |
| |
0.107808 |
| |
0.107756 |
| |
0.107592 |
| |
0.107442 |
| |
0.107193 |
| |
0.106509 |
| |
0.106447 |
| |
0.106208 |
| |
0.105935 |
| |
0.105850 |
| |
0.105770 |
|
|
|
|
|
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.
|