|
|
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 |
| |
0.737460 |
| |
0.737444 |
| |
0.737416 |
| |
0.737375 |
| |
0.737356 |
| |
0.737343 |
| |
0.736914 |
| |
0.736751 |
| |
0.736734 |
| |
0.736616 |
| |
0.736326 |
| |
0.736326 |
| |
0.736309 |
| |
0.736170 |
| |
0.736123 |
| |
0.736105 |
| |
0.736077 |
| |
0.736048 |
| |
0.735976 |
| |
0.735940 |
| |
0.735931 |
| |
0.735923 |
| |
0.735919 |
| |
0.735869 |
| |
0.735853 |
|
|
|
|
|
 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.
|
