|
|
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 |
| |
0.227965 |
| |
0.227887 |
| |
0.227887 |
| |
0.227879 |
| |
0.227866 |
| |
0.227844 |
| |
0.227841 |
| |
0.227751 |
| |
0.227714 |
| |
0.227704 |
| |
0.227701 |
| |
0.227693 |
| |
0.227685 |
| |
0.227585 |
| |
0.227554 |
| |
0.227552 |
| |
0.227511 |
| |
0.227508 |
| |
0.227506 |
| |
0.227459 |
| |
0.227459 |
| |
0.227434 |
| |
0.227420 |
| |
0.227386 |
| |
0.227355 |
|
|
|
|
|
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.
|