|
|
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 |
| |
0.006892 |
| |
0.006837 |
| |
0.006833 |
| |
0.006826 |
| |
0.006792 |
| |
0.006782 |
| |
0.006740 |
| |
0.006725 |
| |
0.006716 |
| |
0.006671 |
| |
0.006634 |
| |
0.006501 |
| |
0.006497 |
| |
0.006377 |
| |
0.006376 |
| |
0.006358 |
| |
0.006347 |
| |
0.006346 |
| |
0.006327 |
| |
0.006325 |
| |
0.006287 |
| |
0.006278 |
| |
0.006260 |
| |
0.006224 |
| |
0.006150 |
|
|
|
|
|
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.
|