|
|
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 |
| |
0.927696 |
| |
0.927079 |
| |
0.926642 |
| |
0.926435 |
| |
0.926405 |
| |
0.925913 |
| |
0.925856 |
| |
0.925678 |
| |
0.925001 |
| |
0.924712 |
| |
0.924588 |
| |
0.924572 |
| |
0.924439 |
| |
0.924322 |
| |
0.924251 |
| |
0.923896 |
| |
0.923666 |
| |
0.923647 |
| |
0.923636 |
| |
0.923210 |
| |
0.922880 |
| |
0.922609 |
| |
0.922168 |
| |
0.922152 |
| |
0.921835 |
|
|
|
|
|
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.
|