|
|
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 |
| |
0.352349 |
| |
0.352340 |
| |
0.352294 |
| |
0.352252 |
| |
0.352213 |
| |
0.352193 |
| |
0.352139 |
| |
0.352045 |
| |
0.351870 |
| |
0.351870 |
| |
0.351838 |
| |
0.351811 |
| |
0.351808 |
| |
0.351806 |
| |
0.351798 |
| |
0.351781 |
| |
0.351733 |
| |
0.351704 |
| |
0.351704 |
| |
0.351685 |
| |
0.351650 |
| |
0.351611 |
| |
0.351595 |
| |
0.351556 |
| |
0.351451 |
|
|
|
|
|
 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.
|
