|
|
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 |
| |
0.664321 |
| |
0.664151 |
| |
0.663992 |
| |
0.663953 |
| |
0.663953 |
| |
0.663948 |
| |
0.663896 |
| |
0.663844 |
| |
0.663827 |
| |
0.663802 |
| |
0.663622 |
| |
0.663274 |
| |
0.663131 |
| |
0.663030 |
| |
0.663002 |
| |
0.662998 |
| |
0.662997 |
| |
0.662993 |
| |
0.662907 |
| |
0.662879 |
| |
0.662754 |
| |
0.662682 |
| |
0.662603 |
| |
0.662592 |
| |
0.662546 |
|
|
|
|
|
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.
|