|
|
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 |
| |
0.321043 |
| |
0.320978 |
| |
0.320940 |
| |
0.320871 |
| |
0.320835 |
| |
0.320743 |
| |
0.320722 |
| |
0.320709 |
| |
0.320704 |
| |
0.320614 |
| |
0.320579 |
| |
0.320559 |
| |
0.320551 |
| |
0.320545 |
| |
0.320451 |
| |
0.320440 |
| |
0.320440 |
| |
0.320440 |
| |
0.320427 |
| |
0.320391 |
| |
0.320323 |
| |
0.320323 |
| |
0.320276 |
| |
0.320276 |
| |
0.320173 |
|
|
|
|
|
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.
|