|
|
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 |
| |
0.860794 |
| |
0.860769 |
| |
0.860651 |
| |
0.860635 |
| |
0.860622 |
| |
0.860567 |
| |
0.860552 |
| |
0.860443 |
| |
0.860443 |
| |
0.860431 |
| |
0.860356 |
| |
0.860338 |
| |
0.860327 |
| |
0.860244 |
| |
0.860241 |
| |
0.860226 |
| |
0.860220 |
| |
0.860172 |
| |
0.860131 |
| |
0.860108 |
| |
0.860032 |
| |
0.860009 |
| |
0.859992 |
| |
0.859947 |
| |
0.859938 |
|
|
|
|
|
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.
|