|
|
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 |
| |
0.192088 |
| |
0.192075 |
| |
0.192063 |
| |
0.192053 |
| |
0.192048 |
| |
0.192033 |
| |
0.192011 |
| |
0.191986 |
| |
0.191941 |
| |
0.191924 |
| |
0.191921 |
| |
0.191854 |
| |
0.191595 |
| |
0.191257 |
| |
0.191222 |
| |
0.191103 |
| |
0.191100 |
| |
0.191007 |
| |
0.190943 |
| |
0.190874 |
| |
0.190826 |
| |
0.190782 |
| |
0.190736 |
| |
0.190706 |
| |
0.190687 |
|
|
|
|
|
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.
|