|
|
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 |
| |
0.499112 |
| |
0.499110 |
| |
0.499019 |
| |
0.498986 |
| |
0.498940 |
| |
0.498933 |
| |
0.498916 |
| |
0.498895 |
| |
0.498839 |
| |
0.498838 |
| |
0.498766 |
| |
0.498729 |
| |
0.498649 |
| |
0.498587 |
| |
0.498531 |
| |
0.498486 |
| |
0.498294 |
| |
0.498251 |
| |
0.498209 |
| |
0.497987 |
| |
0.497979 |
| |
0.497869 |
| |
0.497868 |
| |
0.497738 |
| |
0.497735 |
|
|
|
|
|
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.
|