|
|
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 |
| |
0.521252 |
| |
0.521191 |
| |
0.521157 |
| |
0.520891 |
| |
0.520720 |
| |
0.520712 |
| |
0.520656 |
| |
0.520642 |
| |
0.520624 |
| |
0.520614 |
| |
0.520579 |
| |
0.520549 |
| |
0.520545 |
| |
0.520516 |
| |
0.520496 |
| |
0.520387 |
| |
0.520272 |
| |
0.520102 |
| |
0.520082 |
| |
0.519946 |
| |
0.519913 |
| |
0.519878 |
| |
0.519727 |
| |
0.519655 |
| |
0.519493 |
|
|
|
|
|
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.
|