|
|
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 |
| |
-0.474975 |
| |
-0.475002 |
| |
-0.475005 |
| |
-0.475031 |
| |
-0.475035 |
| |
-0.475055 |
| |
-0.475106 |
| |
-0.475183 |
| |
-0.475189 |
| |
-0.475257 |
| |
-0.475274 |
| |
-0.475292 |
| |
-0.475364 |
| |
-0.475378 |
| |
-0.475378 |
| |
-0.475398 |
| |
-0.475415 |
| |
-0.475481 |
| |
-0.475557 |
| |
-0.475597 |
| |
-0.475651 |
| |
-0.475694 |
| |
-0.475719 |
| |
-0.475739 |
| |
-0.475827 |
|
|
|
|
|
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.
|