|
|
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 |
| |
0.850521 |
| |
0.850520 |
| |
0.850434 |
| |
0.850403 |
| |
0.850362 |
| |
0.850324 |
| |
0.850195 |
| |
0.850132 |
| |
0.850130 |
| |
0.850127 |
| |
0.850076 |
| |
0.850058 |
| |
0.850047 |
| |
0.850025 |
| |
0.850009 |
| |
0.849943 |
| |
0.849940 |
| |
0.849883 |
| |
0.849848 |
| |
0.849828 |
| |
0.849730 |
| |
0.849635 |
| |
0.849557 |
| |
0.849542 |
| |
0.849521 |
|
|
|
|
|
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.
|