|
|
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 |
| |
0.467244 |
| |
0.467243 |
| |
0.467130 |
| |
0.467125 |
| |
0.467110 |
| |
0.467104 |
| |
0.467097 |
| |
0.467085 |
| |
0.467073 |
| |
0.466882 |
| |
0.466865 |
| |
0.466850 |
| |
0.466816 |
| |
0.466816 |
| |
0.466755 |
| |
0.466744 |
| |
0.466692 |
| |
0.466585 |
| |
0.466449 |
| |
0.466354 |
| |
0.466289 |
| |
0.466172 |
| |
0.466161 |
| |
0.466149 |
| |
0.466143 |
|
|
|
|
|
 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.
|
