|
|
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 |
| |
0.249997 |
| |
0.249881 |
| |
0.249857 |
| |
0.249850 |
| |
0.249840 |
| |
0.249827 |
| |
0.249792 |
| |
0.249776 |
| |
0.249746 |
| |
0.249634 |
| |
0.249581 |
| |
0.249575 |
| |
0.249444 |
| |
0.249163 |
| |
0.249148 |
| |
0.249139 |
| |
0.249108 |
| |
0.249039 |
| |
0.249032 |
| |
0.249010 |
| |
0.249001 |
| |
0.248936 |
| |
0.248895 |
| |
0.248894 |
| |
0.248856 |
|
|
|
|
|
 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.
|
