|
|
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 |
| |
0.471427 |
| |
0.471349 |
| |
0.471330 |
| |
0.471308 |
| |
0.471271 |
| |
0.471271 |
| |
0.471246 |
| |
0.471224 |
| |
0.471221 |
| |
0.471162 |
| |
0.471035 |
| |
0.470954 |
| |
0.470895 |
| |
0.470847 |
| |
0.470826 |
| |
0.470826 |
| |
0.470787 |
| |
0.470689 |
| |
0.470689 |
| |
0.470669 |
| |
0.470669 |
| |
0.470662 |
| |
0.470559 |
| |
0.470541 |
| |
0.470531 |
|
|
|
|
|
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.
|