|
|
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 |
| |
0.188163 |
| |
0.188096 |
| |
0.188059 |
| |
0.187991 |
| |
0.187906 |
| |
0.187855 |
| |
0.187855 |
| |
0.187845 |
| |
0.187845 |
| |
0.187826 |
| |
0.187803 |
| |
0.187800 |
| |
0.187687 |
| |
0.187671 |
| |
0.187671 |
| |
0.187619 |
| |
0.187504 |
| |
0.187361 |
| |
0.187243 |
| |
0.187241 |
| |
0.187225 |
| |
0.187154 |
| |
0.187073 |
| |
0.187004 |
| |
0.186966 |
|
|
|
|
|
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.
|