|
|
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 |
| |
0.895110 |
| |
0.895054 |
| |
0.894935 |
| |
0.894927 |
| |
0.894817 |
| |
0.894805 |
| |
0.894644 |
| |
0.894630 |
| |
0.894610 |
| |
0.894606 |
| |
0.894574 |
| |
0.894529 |
| |
0.894425 |
| |
0.894369 |
| |
0.894331 |
| |
0.894220 |
| |
0.894195 |
| |
0.894185 |
| |
0.894164 |
| |
0.894049 |
| |
0.894000 |
| |
0.893904 |
| |
0.893899 |
| |
0.893899 |
| |
0.893869 |
|
|
|
|
|
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.
|