|
|
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 |
| |
0.119610 |
| |
0.119161 |
| |
0.119143 |
| |
0.119136 |
| |
0.119084 |
| |
0.119077 |
| |
0.118880 |
| |
0.118872 |
| |
0.118588 |
| |
0.118376 |
| |
0.118375 |
| |
0.118368 |
| |
0.118307 |
| |
0.118288 |
| |
0.118107 |
| |
0.117817 |
| |
0.117470 |
| |
0.117078 |
| |
0.116652 |
| |
0.116510 |
| |
0.115891 |
| |
0.115618 |
| |
0.115283 |
| |
0.115064 |
| |
0.114918 |
|
|
|
|
|
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.
|