|
|
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 |
| |
0.473391 |
| |
0.473357 |
| |
0.473174 |
| |
0.473143 |
| |
0.473092 |
| |
0.473058 |
| |
0.473039 |
| |
0.472980 |
| |
0.472935 |
| |
0.472918 |
| |
0.472882 |
| |
0.472844 |
| |
0.472842 |
| |
0.472837 |
| |
0.472791 |
| |
0.472780 |
| |
0.472756 |
| |
0.472727 |
| |
0.472707 |
| |
0.472691 |
| |
0.472649 |
| |
0.472611 |
| |
0.472605 |
| |
0.472524 |
| |
0.472519 |
|
|
|
|
|
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.
|