|
|
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 |
| |
0.473106 |
| |
0.473103 |
| |
0.472970 |
| |
0.472960 |
| |
0.472732 |
| |
0.472708 |
| |
0.472642 |
| |
0.472434 |
| |
0.472429 |
| |
0.472409 |
| |
0.472338 |
| |
0.472283 |
| |
0.472157 |
| |
0.471951 |
| |
0.471939 |
| |
0.471806 |
| |
0.471696 |
| |
0.471629 |
| |
0.471586 |
| |
0.471418 |
| |
0.471248 |
| |
0.471180 |
| |
0.471160 |
| |
0.471139 |
| |
0.471105 |
|
|
|
|
|
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.
|