|
|
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 |
| |
0.798102 |
| |
0.798080 |
| |
0.798074 |
| |
0.798045 |
| |
0.798028 |
| |
0.798015 |
| |
0.797985 |
| |
0.797978 |
| |
0.797968 |
| |
0.797968 |
| |
0.797964 |
| |
0.797906 |
| |
0.797887 |
| |
0.797879 |
| |
0.797793 |
| |
0.797770 |
| |
0.797737 |
| |
0.797719 |
| |
0.797708 |
| |
0.797704 |
| |
0.797658 |
| |
0.797630 |
| |
0.797621 |
| |
0.797620 |
| |
0.797597 |
|
|
|
|
|
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.
|