|
|
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 |
| |
0.101697 |
| |
0.101572 |
| |
0.101571 |
| |
0.101417 |
| |
0.101411 |
| |
0.101382 |
| |
0.101340 |
| |
0.101215 |
| |
0.101078 |
| |
0.101062 |
| |
0.101003 |
| |
0.100988 |
| |
0.100983 |
| |
0.100947 |
| |
0.100925 |
| |
0.100864 |
| |
0.100844 |
| |
0.100800 |
| |
0.100797 |
| |
0.100794 |
| |
0.100740 |
| |
0.100720 |
| |
0.100651 |
| |
0.100605 |
| |
0.100577 |
|
|
|
|
|
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.
|