|
|
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 |
| |
0.940742 |
| |
0.940603 |
| |
0.940455 |
| |
0.940390 |
| |
0.940369 |
| |
0.940245 |
| |
0.940172 |
| |
0.940151 |
| |
0.940126 |
| |
0.940124 |
| |
0.939927 |
| |
0.939891 |
| |
0.939857 |
| |
0.939758 |
| |
0.939716 |
| |
0.939588 |
| |
0.939575 |
| |
0.939514 |
| |
0.939511 |
| |
0.939378 |
| |
0.939346 |
| |
0.939249 |
| |
0.939221 |
| |
0.939177 |
| |
0.939166 |
|
|
|
|
|
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.
|