|
|
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 |
| |
0.057610 |
| |
0.057522 |
| |
0.057509 |
| |
0.057490 |
| |
0.057456 |
| |
0.057375 |
| |
0.057367 |
| |
0.057230 |
| |
0.057088 |
| |
0.057081 |
| |
0.057068 |
| |
0.057065 |
| |
0.057007 |
| |
0.056954 |
| |
0.056929 |
| |
0.056919 |
| |
0.056892 |
| |
0.056892 |
| |
0.056868 |
| |
0.056839 |
| |
0.056838 |
| |
0.056800 |
| |
0.056480 |
| |
0.056476 |
| |
0.056463 |
|
|
|
|
|
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.
|