|
|
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 |
| |
0.742060 |
| |
0.741915 |
| |
0.741842 |
| |
0.741739 |
| |
0.741710 |
| |
0.741703 |
| |
0.741162 |
| |
0.741092 |
| |
0.740856 |
| |
0.740772 |
| |
0.740743 |
| |
0.740628 |
| |
0.740501 |
| |
0.740351 |
| |
0.740307 |
| |
0.740113 |
| |
0.740111 |
| |
0.739995 |
| |
0.739895 |
| |
0.739707 |
| |
0.739643 |
| |
0.739630 |
| |
0.739605 |
| |
0.739526 |
| |
0.739521 |
|
|
|
|
|
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.
|