|
|
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 |
| |
0.879953 |
| |
0.879492 |
| |
0.879469 |
| |
0.879354 |
| |
0.878755 |
| |
0.878639 |
| |
0.878058 |
| |
0.878026 |
| |
0.877641 |
| |
0.877571 |
| |
0.877542 |
| |
0.877304 |
| |
0.877172 |
| |
0.877133 |
| |
0.877110 |
| |
0.876684 |
| |
0.876465 |
| |
0.876413 |
| |
0.876391 |
| |
0.876307 |
| |
0.876175 |
| |
0.876167 |
| |
0.876030 |
| |
0.875897 |
| |
0.875851 |
|
|
|
|
|
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.
|