|
|
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 |
| |
-0.556247 |
| |
-0.556250 |
| |
-0.556385 |
| |
-0.556401 |
| |
-0.556431 |
| |
-0.556805 |
| |
-0.556837 |
| |
-0.556912 |
| |
-0.556933 |
| |
-0.556951 |
| |
-0.556999 |
| |
-0.557246 |
| |
-0.557356 |
| |
-0.557537 |
| |
-0.557544 |
| |
-0.557723 |
| |
-0.557977 |
| |
-0.558022 |
| |
-0.558093 |
| |
-0.558172 |
| |
-0.558196 |
| |
-0.558268 |
| |
-0.558414 |
| |
-0.558534 |
| |
-0.558598 |
|
|
|
|
|
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.
|