|
|
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 |
| |
0.617331 |
| |
0.617331 |
| |
0.617164 |
| |
0.617123 |
| |
0.616982 |
| |
0.616816 |
| |
0.616762 |
| |
0.616705 |
| |
0.616488 |
| |
0.616408 |
| |
0.616406 |
| |
0.616275 |
| |
0.616195 |
| |
0.616173 |
| |
0.615966 |
| |
0.615915 |
| |
0.615909 |
| |
0.615630 |
| |
0.615607 |
| |
0.615478 |
| |
0.615425 |
| |
0.615320 |
| |
0.615289 |
| |
0.615253 |
| |
0.615249 |
|
|
|
|
|
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.
|