|
|
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 |
| |
0.339259 |
| |
0.339161 |
| |
0.339155 |
| |
0.339145 |
| |
0.339112 |
| |
0.339106 |
| |
0.339054 |
| |
0.338987 |
| |
0.338859 |
| |
0.338794 |
| |
0.338752 |
| |
0.338750 |
| |
0.338735 |
| |
0.338700 |
| |
0.338570 |
| |
0.338501 |
| |
0.338440 |
| |
0.338422 |
| |
0.338405 |
| |
0.338291 |
| |
0.338167 |
| |
0.338142 |
| |
0.338142 |
| |
0.338099 |
| |
0.338062 |
|
|
|
|
|
 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.
|
