|
|
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 |
| |
0.111329 |
| |
0.111264 |
| |
0.111251 |
| |
0.111177 |
| |
0.111102 |
| |
0.111011 |
| |
0.110890 |
| |
0.110802 |
| |
0.110730 |
| |
0.110719 |
| |
0.110562 |
| |
0.110562 |
| |
0.110539 |
| |
0.110534 |
| |
0.110520 |
| |
0.110494 |
| |
0.110421 |
| |
0.110329 |
| |
0.110196 |
| |
0.110158 |
| |
0.110024 |
| |
0.110023 |
| |
0.110008 |
| |
0.109867 |
| |
0.109846 |
|
|
|
|
|
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.
|