|
|
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 |
| |
0.622367 |
| |
0.621352 |
| |
0.619566 |
| |
0.619114 |
| |
0.618593 |
| |
0.617476 |
| |
0.615927 |
| |
0.614033 |
| |
0.612577 |
| |
0.612577 |
| |
0.611569 |
| |
0.611463 |
| |
0.611448 |
| |
0.610629 |
| |
0.610190 |
| |
0.610049 |
| |
0.609714 |
| |
0.609566 |
| |
0.608522 |
| |
0.607906 |
| |
0.607764 |
| |
0.606843 |
| |
0.606804 |
| |
0.605878 |
| |
0.605097 |
|
|
|
|
|
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.
|