|
|
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 |
| |
0.702822 |
| |
0.702773 |
| |
0.702760 |
| |
0.702717 |
| |
0.702538 |
| |
0.702460 |
| |
0.702402 |
| |
0.702295 |
| |
0.702289 |
| |
0.702244 |
| |
0.702204 |
| |
0.702127 |
| |
0.701846 |
| |
0.701826 |
| |
0.701543 |
| |
0.701449 |
| |
0.701408 |
| |
0.700951 |
| |
0.700869 |
| |
0.700800 |
| |
0.700398 |
| |
0.700096 |
| |
0.700090 |
| |
0.700052 |
| |
0.699758 |
|
|
|
|
|
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.
|