|
|
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 |
| |
0.407905 |
| |
0.407821 |
| |
0.407793 |
| |
0.407793 |
| |
0.407774 |
| |
0.407754 |
| |
0.407753 |
| |
0.407734 |
| |
0.407716 |
| |
0.407683 |
| |
0.407670 |
| |
0.407662 |
| |
0.407647 |
| |
0.407608 |
| |
0.407533 |
| |
0.407526 |
| |
0.407503 |
| |
0.407413 |
| |
0.407378 |
| |
0.407376 |
| |
0.407356 |
| |
0.407216 |
| |
0.407203 |
| |
0.407178 |
| |
0.407027 |
|
|
|
|
|
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.
|