|
|
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 |
| |
0.189214 |
| |
0.189210 |
| |
0.189186 |
| |
0.189109 |
| |
0.189046 |
| |
0.188979 |
| |
0.188739 |
| |
0.188457 |
| |
0.188457 |
| |
0.188425 |
| |
0.188295 |
| |
0.188263 |
| |
0.188115 |
| |
0.188085 |
| |
0.188078 |
| |
0.188069 |
| |
0.188044 |
| |
0.188009 |
| |
0.187963 |
| |
0.187957 |
| |
0.187922 |
| |
0.187922 |
| |
0.187536 |
| |
0.187435 |
| |
0.187426 |
|
|
|
|
|
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.
|