|
|
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 |
| |
0.391705 |
| |
0.391671 |
| |
0.391642 |
| |
0.391634 |
| |
0.391629 |
| |
0.391587 |
| |
0.391446 |
| |
0.391446 |
| |
0.391408 |
| |
0.391408 |
| |
0.391394 |
| |
0.391351 |
| |
0.391313 |
| |
0.391242 |
| |
0.391209 |
| |
0.391196 |
| |
0.391151 |
| |
0.391126 |
| |
0.391091 |
| |
0.391041 |
| |
0.391009 |
| |
0.391003 |
| |
0.390991 |
| |
0.390977 |
| |
0.390868 |
|
|
|
|
|
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.
|