|
|
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 |
| |
0.816006 |
| |
0.815412 |
| |
0.814664 |
| |
0.814151 |
| |
0.814121 |
| |
0.814102 |
| |
0.814018 |
| |
0.813642 |
| |
0.813451 |
| |
0.813068 |
| |
0.812995 |
| |
0.812655 |
| |
0.812144 |
| |
0.812127 |
| |
0.811866 |
| |
0.811675 |
| |
0.811315 |
| |
0.810985 |
| |
0.810563 |
| |
0.810482 |
| |
0.810471 |
| |
0.810012 |
| |
0.809517 |
| |
0.809420 |
| |
0.808941 |
|
|
|
|
|
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.
|