|
|
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 |
| |
0.898389 |
| |
0.898345 |
| |
0.898333 |
| |
0.897977 |
| |
0.897831 |
| |
0.897824 |
| |
0.897754 |
| |
0.897718 |
| |
0.897546 |
| |
0.897435 |
| |
0.897369 |
| |
0.897306 |
| |
0.897205 |
| |
0.897196 |
| |
0.897029 |
| |
0.896967 |
| |
0.896964 |
| |
0.896854 |
| |
0.896840 |
| |
0.896526 |
| |
0.896525 |
| |
0.896507 |
| |
0.896175 |
| |
0.896047 |
| |
0.895833 |
|
|
|
|
|
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.
|