|
|
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 |
| |
0.444972 |
| |
0.444925 |
| |
0.444814 |
| |
0.444814 |
| |
0.444787 |
| |
0.444771 |
| |
0.444750 |
| |
0.444738 |
| |
0.444667 |
| |
0.444583 |
| |
0.444579 |
| |
0.444505 |
| |
0.444465 |
| |
0.444356 |
| |
0.444333 |
| |
0.444331 |
| |
0.444315 |
| |
0.444311 |
| |
0.444255 |
| |
0.444179 |
| |
0.444174 |
| |
0.444142 |
| |
0.443716 |
| |
0.443716 |
| |
0.443703 |
|
|
|
|
|
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.
|