|
|
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 |
| |
-0.264900 |
| |
-0.264906 |
| |
-0.265090 |
| |
-0.265106 |
| |
-0.265136 |
| |
-0.265137 |
| |
-0.265161 |
| |
-0.265178 |
| |
-0.265251 |
| |
-0.265304 |
| |
-0.265307 |
| |
-0.265309 |
| |
-0.265331 |
| |
-0.265349 |
| |
-0.265352 |
| |
-0.265360 |
| |
-0.265418 |
| |
-0.265424 |
| |
-0.265452 |
| |
-0.265456 |
| |
-0.265505 |
| |
-0.265610 |
| |
-0.265620 |
| |
-0.265622 |
| |
-0.265648 |
|
|
|
|
|
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.
|