|
|
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 |
| |
-0.686840 |
| |
-0.687231 |
| |
-0.687754 |
| |
-0.687901 |
| |
-0.687973 |
| |
-0.688062 |
| |
-0.688584 |
| |
-0.688597 |
| |
-0.688616 |
| |
-0.688755 |
| |
-0.689031 |
| |
-0.689175 |
| |
-0.689259 |
| |
-0.689387 |
| |
-0.689530 |
| |
-0.690006 |
| |
-0.690016 |
| |
-0.690360 |
| |
-0.690462 |
| |
-0.690654 |
| |
-0.690800 |
| |
-0.691316 |
| |
-0.691468 |
| |
-0.691786 |
| |
-0.691873 |
|
|
|
|
|
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.
|