|
|
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 |
| |
0.499351 |
| |
0.499331 |
| |
0.499328 |
| |
0.499298 |
| |
0.499286 |
| |
0.499269 |
| |
0.499071 |
| |
0.499070 |
| |
0.499068 |
| |
0.498939 |
| |
0.498930 |
| |
0.498905 |
| |
0.498905 |
| |
0.498881 |
| |
0.498742 |
| |
0.498533 |
| |
0.498404 |
| |
0.498326 |
| |
0.498242 |
| |
0.498196 |
| |
0.498107 |
| |
0.498049 |
| |
0.497995 |
| |
0.497964 |
| |
0.497887 |
|
|
|
|
|
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.
|