|
|
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 |
| |
0.506538 |
| |
0.506383 |
| |
0.506260 |
| |
0.506063 |
| |
0.505939 |
| |
0.505856 |
| |
0.505759 |
| |
0.505544 |
| |
0.505520 |
| |
0.505434 |
| |
0.505434 |
| |
0.505165 |
| |
0.505073 |
| |
0.505030 |
| |
0.504970 |
| |
0.504909 |
| |
0.504909 |
| |
0.504554 |
| |
0.504173 |
| |
0.504056 |
| |
0.503887 |
| |
0.503765 |
| |
0.503621 |
| |
0.503479 |
| |
0.503366 |
|
|
|
|
|
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.
|