|
|
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 |
| |
0.710070 |
| |
0.710070 |
| |
0.709952 |
| |
0.709942 |
| |
0.709927 |
| |
0.709923 |
| |
0.709911 |
| |
0.709872 |
| |
0.709869 |
| |
0.709858 |
| |
0.709847 |
| |
0.709830 |
| |
0.709725 |
| |
0.709673 |
| |
0.709659 |
| |
0.709619 |
| |
0.709590 |
| |
0.709574 |
| |
0.709497 |
| |
0.709485 |
| |
0.709389 |
| |
0.709374 |
| |
0.709319 |
| |
0.709290 |
| |
0.709154 |
|
|
|
|
|
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.
|