|
|
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 |
| |
0.114422 |
| |
0.114399 |
| |
0.114396 |
| |
0.114286 |
| |
0.114286 |
| |
0.114143 |
| |
0.114094 |
| |
0.114094 |
| |
0.114061 |
| |
0.114001 |
| |
0.113854 |
| |
0.113824 |
| |
0.113821 |
| |
0.113742 |
| |
0.113742 |
| |
0.113713 |
| |
0.113696 |
| |
0.113636 |
| |
0.113573 |
| |
0.113519 |
| |
0.113468 |
| |
0.113432 |
| |
0.113416 |
| |
0.113382 |
| |
0.113248 |
|
|
|
|
|
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.
|