|
|
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 |
| |
-0.778999 |
| |
-0.779085 |
| |
-0.779103 |
| |
-0.779105 |
| |
-0.779109 |
| |
-0.779176 |
| |
-0.779236 |
| |
-0.779326 |
| |
-0.779444 |
| |
-0.779470 |
| |
-0.779530 |
| |
-0.779550 |
| |
-0.779558 |
| |
-0.779628 |
| |
-0.779630 |
| |
-0.779638 |
| |
-0.779718 |
| |
-0.779745 |
| |
-0.779779 |
| |
-0.779904 |
| |
-0.779956 |
| |
-0.779989 |
| |
-0.780073 |
| |
-0.780210 |
| |
-0.780226 |
|
|
|
|
|
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.
|