|
|
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 |
| |
0.451367 |
| |
0.451287 |
| |
0.451249 |
| |
0.451244 |
| |
0.451226 |
| |
0.451209 |
| |
0.451204 |
| |
0.451204 |
| |
0.451185 |
| |
0.451125 |
| |
0.451020 |
| |
0.451008 |
| |
0.450913 |
| |
0.450849 |
| |
0.450813 |
| |
0.450809 |
| |
0.450757 |
| |
0.450754 |
| |
0.450741 |
| |
0.450730 |
| |
0.450631 |
| |
0.450628 |
| |
0.450586 |
| |
0.450583 |
| |
0.450573 |
|
|
|
|
|
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.
|