|
|
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 |
| |
-0.780950 |
| |
-0.781025 |
| |
-0.781618 |
| |
-0.782674 |
| |
-0.782899 |
| |
-0.783122 |
| |
-0.783364 |
| |
-0.783695 |
| |
-0.783774 |
| |
-0.784775 |
| |
-0.784788 |
| |
-0.785299 |
| |
-0.785408 |
| |
-0.785428 |
| |
-0.785825 |
| |
-0.785955 |
| |
-0.786002 |
| |
-0.786015 |
| |
-0.786233 |
| |
-0.786631 |
| |
-0.787853 |
| |
-0.788091 |
| |
-0.788147 |
| |
-0.788704 |
| |
-0.789124 |
|
|
|
|
|
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.
|