|
|
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 |
| |
0.120630 |
| |
0.120502 |
| |
0.120394 |
| |
0.120246 |
| |
0.120241 |
| |
0.120173 |
| |
0.120156 |
| |
0.120060 |
| |
0.119995 |
| |
0.119871 |
| |
0.119835 |
| |
0.119821 |
| |
0.119777 |
| |
0.119716 |
| |
0.119707 |
| |
0.119692 |
| |
0.119585 |
| |
0.119580 |
| |
0.119487 |
| |
0.119468 |
| |
0.119446 |
| |
0.119275 |
| |
0.119270 |
| |
0.119172 |
| |
0.119097 |
|
|
|
|
|
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.
|