|
|
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 |
| |
0.329054 |
| |
0.328933 |
| |
0.328816 |
| |
0.328609 |
| |
0.328458 |
| |
0.328373 |
| |
0.328181 |
| |
0.328018 |
| |
0.327875 |
| |
0.327860 |
| |
0.327808 |
| |
0.327737 |
| |
0.327677 |
| |
0.327504 |
| |
0.327402 |
| |
0.327277 |
| |
0.327171 |
| |
0.327001 |
| |
0.326957 |
| |
0.326832 |
| |
0.326641 |
| |
0.326535 |
| |
0.326282 |
| |
0.326223 |
| |
0.326189 |
|
|
|
|
|
 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.
|
