|
|
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 |
| |
0.655857 |
| |
0.655777 |
| |
0.655742 |
| |
0.655450 |
| |
0.655340 |
| |
0.655336 |
| |
0.655321 |
| |
0.655276 |
| |
0.655243 |
| |
0.655185 |
| |
0.655175 |
| |
0.655165 |
| |
0.654849 |
| |
0.654421 |
| |
0.654387 |
| |
0.654168 |
| |
0.654162 |
| |
0.654133 |
| |
0.654093 |
| |
0.654045 |
| |
0.653930 |
| |
0.653837 |
| |
0.653753 |
| |
0.653740 |
| |
0.653668 |
|
|
|
|
|
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.
|