|
|
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 |
| |
-0.111285 |
| |
-0.111313 |
| |
-0.111343 |
| |
-0.111359 |
| |
-0.111395 |
| |
-0.111468 |
| |
-0.111670 |
| |
-0.111800 |
| |
-0.111813 |
| |
-0.111952 |
| |
-0.112280 |
| |
-0.112471 |
| |
-0.112611 |
| |
-0.112642 |
| |
-0.112689 |
| |
-0.112710 |
| |
-0.112807 |
| |
-0.112957 |
| |
-0.113245 |
| |
-0.113522 |
| |
-0.113834 |
| |
-0.114011 |
| |
-0.114024 |
| |
-0.114097 |
| |
-0.114103 |
|
|
|
|
|
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.
|