|
|
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 |
| |
0.102198 |
| |
0.102179 |
| |
0.102146 |
| |
0.102103 |
| |
0.102061 |
| |
0.102044 |
| |
0.102010 |
| |
0.102009 |
| |
0.101947 |
| |
0.101928 |
| |
0.101928 |
| |
0.101760 |
| |
0.101747 |
| |
0.101745 |
| |
0.101652 |
| |
0.101624 |
| |
0.101610 |
| |
0.101582 |
| |
0.101575 |
| |
0.101460 |
| |
0.101443 |
| |
0.101264 |
| |
0.101260 |
| |
0.101258 |
| |
0.101196 |
|
|
|
|
|
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.
|