|
|
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 |
| |
0.145769 |
| |
0.145757 |
| |
0.145733 |
| |
0.145729 |
| |
0.145728 |
| |
0.145728 |
| |
0.145694 |
| |
0.145628 |
| |
0.145628 |
| |
0.145625 |
| |
0.145562 |
| |
0.145558 |
| |
0.145554 |
| |
0.145397 |
| |
0.145397 |
| |
0.145318 |
| |
0.145279 |
| |
0.145279 |
| |
0.145253 |
| |
0.145253 |
| |
0.145238 |
| |
0.145220 |
| |
0.145218 |
| |
0.145218 |
| |
0.145077 |
|
|
|
|
|
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.
|