|
|
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 |
| |
0.470772 |
| |
0.470756 |
| |
0.470737 |
| |
0.470659 |
| |
0.470566 |
| |
0.470518 |
| |
0.470446 |
| |
0.470350 |
| |
0.470316 |
| |
0.470309 |
| |
0.470298 |
| |
0.470298 |
| |
0.470221 |
| |
0.470172 |
| |
0.470149 |
| |
0.470133 |
| |
0.470099 |
| |
0.470099 |
| |
0.470067 |
| |
0.470037 |
| |
0.470026 |
| |
0.470015 |
| |
0.469963 |
| |
0.469953 |
| |
0.469908 |
|
|
|
|
|
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.
|