|
|
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 |
| |
-0.478637 |
| |
-0.478783 |
| |
-0.478783 |
| |
-0.478811 |
| |
-0.478876 |
| |
-0.479211 |
| |
-0.479305 |
| |
-0.479408 |
| |
-0.479765 |
| |
-0.479919 |
| |
-0.479945 |
| |
-0.479990 |
| |
-0.480049 |
| |
-0.480482 |
| |
-0.480544 |
| |
-0.480752 |
| |
-0.480782 |
| |
-0.480827 |
| |
-0.480831 |
| |
-0.480844 |
| |
-0.480907 |
| |
-0.481079 |
| |
-0.481161 |
| |
-0.481359 |
| |
-0.481649 |
|
|
|
|
|
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.
|