|
|
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 |
| |
0.443289 |
| |
0.443168 |
| |
0.443039 |
| |
0.442977 |
| |
0.442940 |
| |
0.442860 |
| |
0.442788 |
| |
0.442770 |
| |
0.442769 |
| |
0.442768 |
| |
0.442674 |
| |
0.442647 |
| |
0.442593 |
| |
0.442442 |
| |
0.442264 |
| |
0.442085 |
| |
0.442066 |
| |
0.442056 |
| |
0.442019 |
| |
0.442006 |
| |
0.441955 |
| |
0.441955 |
| |
0.441906 |
| |
0.441901 |
| |
0.441816 |
|
|
|
|
|
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.
|