|
|
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 |
| |
0.525106 |
| |
0.525096 |
| |
0.524783 |
| |
0.524632 |
| |
0.524493 |
| |
0.524424 |
| |
0.524289 |
| |
0.524218 |
| |
0.524155 |
| |
0.523198 |
| |
0.522908 |
| |
0.522707 |
| |
0.522301 |
| |
0.522158 |
| |
0.521984 |
| |
0.521667 |
| |
0.521221 |
| |
0.520954 |
| |
0.520917 |
| |
0.520775 |
| |
0.520627 |
| |
0.520497 |
| |
0.520141 |
| |
0.519950 |
| |
0.519864 |
|
|
|
|
|
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.
|