|
|
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 |
| |
-0.469439 |
| |
-0.469520 |
| |
-0.469563 |
| |
-0.469635 |
| |
-0.469793 |
| |
-0.469843 |
| |
-0.470082 |
| |
-0.470115 |
| |
-0.470169 |
| |
-0.470191 |
| |
-0.470245 |
| |
-0.470269 |
| |
-0.470304 |
| |
-0.470321 |
| |
-0.470354 |
| |
-0.470452 |
| |
-0.470519 |
| |
-0.470606 |
| |
-0.470628 |
| |
-0.470696 |
| |
-0.470828 |
| |
-0.470921 |
| |
-0.470984 |
| |
-0.471200 |
| |
-0.471261 |
|
|
|
|
|
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.
|