|
|
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 |
| |
0.451587 |
| |
0.451355 |
| |
0.451262 |
| |
0.451242 |
| |
0.451200 |
| |
0.451200 |
| |
0.451174 |
| |
0.450930 |
| |
0.450916 |
| |
0.450776 |
| |
0.450712 |
| |
0.450555 |
| |
0.450435 |
| |
0.450409 |
| |
0.450343 |
| |
0.450318 |
| |
0.450311 |
| |
0.450296 |
| |
0.450244 |
| |
0.449993 |
| |
0.449933 |
| |
0.449866 |
| |
0.449840 |
| |
0.449702 |
| |
0.449692 |
|
|
|
|
|
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.
|