|
|
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 |
| |
0.868981 |
| |
0.868789 |
| |
0.868751 |
| |
0.868741 |
| |
0.868737 |
| |
0.868662 |
| |
0.868646 |
| |
0.868624 |
| |
0.868567 |
| |
0.868554 |
| |
0.868500 |
| |
0.868428 |
| |
0.868424 |
| |
0.868423 |
| |
0.868383 |
| |
0.868327 |
| |
0.868135 |
| |
0.868122 |
| |
0.868097 |
| |
0.868081 |
| |
0.867945 |
| |
0.867766 |
| |
0.867729 |
| |
0.867661 |
| |
0.867609 |
|
|
|
|
|
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.
|